{"id":92900,"date":"2026-05-25T12:22:02","date_gmt":"2026-05-25T12:22:02","guid":{"rendered":"https:\/\/www.lifree.co.in\/blog\/?p=92900"},"modified":"2026-05-25T12:22:02","modified_gmt":"2026-05-25T12:22:02","slug":"the-emergence-of-image-undressing-technology","status":"publish","type":"post","link":"https:\/\/www.lifree.co.in\/blog\/the-emergence-of-image-undressing-technology\/","title":{"rendered":"The Emergence of Image Undressing Technology"},"content":{"rendered":"<p>Deepnude AI What It Is and Why You Should Know About It<\/p>\n<p><strong>DeepNude AI<\/strong> once sparked a firestorm across the internet, using deep learning to digitally remove clothing from images with shocking realism. This controversial technology showcased both the immense power and the perilous ethical boundaries of generative AI models. Its rapid shutdown only fueled public fascination, making it a defining, cautionary tale in the evolution of synthetic media.<\/p>\n<h2>The Emergence of Image Undressing Technology<\/h2>\n<p>The rapid emergence of <strong>image undressing technology<\/strong> represents a controversial leap in AI-driven visual manipulation, utilizing deep learning algorithms to digitally remove clothing from photos of individuals, often without consent. This technology, primarily powered by generative adversarial networks, analyzes pixel patterns and body contours to fabricate realistic nude images, spreading virally through apps and websites. While proponents cite potential applications in fashion design or medical imaging, the primary usage has sparked intense ethical backlash, fueling concerns over non-consensual pornography, privacy violations, and psychological harm. The ease of access and anonymity online has made it a dangerous tool for harassment, prompting urgent calls for stricter regulation. As this capability evolves, society grapples with the tension between technological innovation and the protection of human dignity in the digital age.<\/p>\n<p><strong>Q: Is this technology legal?<\/strong><br \/>A: Legality varies. Many jurisdictions now criminalize creating or sharing such images without consent, but enforcement remains complex due to cross-border digital distribution.<\/p>\n<h3>How Synthetic Clothing Removal Software First Gained Notoriety<\/h3>\n<p><strong>Image undressing technology<\/strong> has rapidly emerged as a controversial application of deep learning and generative adversarial networks (GANs). Initially developed for academic research in body synthesis, these tools now allow users to digitally remove clothing from photos, generating synthetic nude images with alarming realism. Experts warn that the technology poses severe risks, including non-consensual pornography, privacy violations, and psychological harm to victims. Key dangers include:<\/p>\n<ul>\n<li>Ease of access via mobile apps and websites<\/li>\n<li>Difficulty in detecting manipulated media<\/li>\n<li>Legal gray areas in many jurisdictions<\/li>\n<\/ul>\n<p>For developers, responsible deployment requires strict consent verification, watermarking, and alignment with digital ethics frameworks. Users should avoid engaging with such tools entirely, as even casual use perpetuates harm. The emergence highlights an urgent need for robust AI regulation and public awareness campaigns.<\/p>\n<h3>Key Differences Between Original DeepNude and Modern Derivatives<\/h3>\n<p>The emergence of image undressing technology, driven by generative adversarial networks and diffusion models, enables the digital removal of clothing from photographs with alarming accuracy. This<strong> AI-powered image manipulation<\/strong> software has proliferated through open-source repositories and dedicated apps, raising significant ethical concerns regarding consent and privacy. Key features include:  <\/p>\n<ul>\n<li>Automated body mesh mapping to predict hidden anatomy<\/li>\n<li>Texture synthesis for realistic skin rendering<\/li>\n<li>Real-time processing on consumer hardware<\/li>\n<\/ul>\n<p>While initially developed for adult entertainment, its misuse for non-consensual deepfakes has spurred legal scrutiny. A neutral observation: the technology itself is neither inherently harmful nor beneficial\u2014its impact depends entirely on deployment and regulation.<\/p>\n<p><strong>Q&#038;A: Does image undressing violate laws?<\/strong><br \/>\nYes, in many jurisdictions. <a href='https:\/\/deepundress.app\/?ref=r'>deepfake nudes<\/a> Creating or distributing non-consensual nude images falls under revenge porn or deepfake legislation. However, enforcement remains inconsistent due to cross-border platform hosting and anonymized distribution channels.<\/p>\n<h2>Legal and Ethical Boundaries of Digital Nudification<\/h2>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"605px\" alt=\"deepnude AI\" 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\"\/><\/p>\n<p>The legal and ethical boundaries of digital nudification are alarmingly porous, demanding immediate and stringent global oversight. Legally, the unauthorized creation and distribution of synthetic nude imagery\u2014often termed deepfake pornography\u2014constitutes a clear violation of privacy, defamation, and revenge porn laws in many jurisdictions, yet enforcement remains inconsistent. Ethically, this technology represents a profound assault on human dignity, autonomy, and consent, as it weaponizes a person&#8217;s likeness without their permission. <strong>Digital consent<\/strong> must be unequivocally codified, with platforms bearing strict liability for hosting such content. Furthermore, <strong>ethical AI development<\/strong> requires that developers embed non-negotiable safeguards, such as imperceptible digital watermarks and rigorous age-verification protocols. To allow this practice to flourish under the guise of &#8220;harmless editing&#8221; is a dangerous abdication of responsibility; laws must evolve to criminalize the creation tool itself, not just its malicious application. Only through decisive legal action and a zero-tolerance ethical stance can we prevent digital nudification from eroding the very foundations of personal security and societal trust.<\/p>\n<h3>Consent Violations and Non-Consensual Intimate Imagery Laws<\/h3>\n<p>The legal and ethical boundaries of digital nudification are razor-thin, primarily because this AI tool can create non-consensual intimate images. Most jurisdictions are scrambling to outlaw deepfake nudes, with severe penalties for generating them without a person&#8217;s permission. <strong>Synthetic content generation laws<\/strong> are tightening globally, yet enforcement remains a challenge. Ethically, it&#8217;s a no-brainer: using someone&#8217;s photo for nudification violates their privacy and bodily autonomy. The core issue is consent\u2014without it, the practice is purely exploitative. Many platforms now ban these tools outright to avoid hosting harmful content. While some creators argue for artistic or educational uses, the <mark>non-consensual<\/mark> factor makes it a dangerous gray area where legality lags behind technology. The safest boundary? Treat it like you would a locked door\u2014don&#8217;t touch what isn&#8217;t yours.<\/p>\n<h3>Copyright and Privacy Litigation Against Distribution Platforms<\/h3>\n<p>The digital manipulation of images to create nude depictions\u2014often referred to as &#8220;nudification&#8221;\u2014operates in a high-stakes legal and ethical grey zone. Legally, creating such content without explicit consent violates privacy laws and can constitute image-based sexual abuse, carrying severe penalties. Ethically, using AI to fabricate intimate imagery undermines personal autonomy and dignity, regardless of whether the image is &#8220;shared.&#8221; <strong>Digital consent and privacy rights<\/strong> are the non-negotiable cornerstones here. Key boundaries include: <mark>non-consensual creation<\/mark> is universally condemned, relying on &#8220;deepfake&#8221; technology amplifies harm, and platform responsibility mandates immediate takedowns. Without robust guardrails, this technology becomes a tool for harassment, extortion, and psychological damage, demanding both legal enforcement and a moral imperative to protect individuals from algorithmic exploitation.<\/p>\n<h2>Technical Mechanics Behind Realistic Body Generation<\/h2>\n<p>Realistic body generation in modern games and CGI relies on a few clever tricks that feel almost magical. The core technical mechanic is a process called <strong>subsurface scattering<\/strong>, which simulates how light actually penetrates skin, scattering under the surface and re-emerging. This prevents characters from looking like hard plastic or wax figures. Artists also use high-resolution displacement maps that physically shift a model&#8217;s polygons to create pores, wrinkles, and subtle fat deposits, rather than just painting them on. To make it all move naturally, developers layer a robust muscle and fat simulation system on top of the skeleton\u2014this ensures a character&#8217;s belly jiggles realistically when they laugh, and their skin slides over the bone and sinew underneath without tearing. The final secret is blending these real-time physics with thousands of high-fidelity normal maps, creating the illusion of detail that our brains instantly recognize as human.<\/p>\n<h3>Generative Adversarial Networks and Clothing Inpainting<\/h3>\n<p>Realistic body generation in modern 3D software relies on a sophisticated blend of procedural systems and manual sculpting. The core process begins with a <strong>base mesh rigged for natural deformation<\/strong>, often created using subdivision surface modeling for smooth topology. Physics simulations then breathe life into the model, calculating dynamic muscle flexion and realistic fat displacement via soft-body solvers. To achieve lifelike skin, advanced shaders use subsurface scattering (SSS), which mimics how light penetrates and diffuses beneath the surface, eliminating a waxy appearance. Finally, artists layer high-resolution displacement maps from photogrammetry scans to capture pore-level detail, ensuring the final digital human avoids the uncanny valley and feels genuinely organic.<\/p>\n<h3>Training Data Sources and Anatomical Accuracy Risks<\/h3>\n<p>Realistic body generation relies on a procedural skeleton binding system, where a rigged polygonal mesh is driven by dynamic muscle and fat simulations. The core process involves creating a base mesh with uniform topology, then applying <strong>physically-based deformation algorithms<\/strong> that calculate how soft tissues shift during movement. Key methods include:<\/p>\n<ul>\n<li>**Volume preservation** (ensuring limbs don&#8217;t compress unnaturally).<\/li>\n<li>**Inverse kinematics** for joint rotation limits.<\/li>\n<li>**Subsurface scattering** for skin translucency.<\/li>\n<\/ul>\n<p>A common pitfall is fixed vertex weighting, which fails under extreme poses; modern engines use GPU-based skinning with adaptive blend shapes for lifelike jiggle.<\/p>\n<div style=\"text-align:center\">\n<iframe loading=\"lazy\" width=\"569\" height=\"311\" src=\"https:\/\/www.youtube.com\/embed\/7X3zN8aCL7I\" frameborder=\"0\" alt=\"deepnude AI\" allowfullscreen><\/iframe>\n<\/div>\n<p><strong>Q: Why do generated bodies look &#8220;waxy&#8221;?<\/strong><br \/>A: Usually due to insufficient displacement maps. Combine specular roughness with microdetail normals (2K+ resolution) to scatter light realistically.<\/p>\n<h2>Societal Impact on Online Safety and Trust<\/h2>\n<p>In a small town, a retired teacher named Helen used to share family photos on a local forum, feeling the warmth of community. But after a scammer stole her granddaughter\u2019s identity using those pictures, she stopped posting entirely. Helen\u2019s story reflects a broader societal shift: as online spaces grow, <strong>digital trust<\/strong> erodes when malicious actors exploit shared vulnerabilities. Parents now teach children to hide locations, while small businesses hesitate to embrace e-commerce. Yet, communities push back by organizing <strong>cyber literacy workshops<\/strong> and reporting systems, rebuilding safety through collective vigilance. This tension between connection and caution defines our era\u2014where every click can strengthen bonds or shatter them, and trust hinges on how society chooses to protect its most vulnerable voices.<\/p>\n<h3>Deepfake Pornography\u2019s Effect on Personal Reputation<\/h3>\n<p>The pervasive nature of digital interactions has reshaped societal expectations around online safety and trust. As users engage more with e-commerce, social media, and remote services, their reliance on robust security protocols and transparent data practices deepens. <strong>Digital literacy directly influences trust in online platforms<\/strong>, as informed users are better equipped to identify phishing attempts and safeguard personal information. Conversely, widespread exposure to data breaches and misinformation erodes collective confidence, leading to skepticism toward even legitimate services. This dynamic creates a feedback loop where vulnerable communities\u2014such as the elderly or those with limited internet access\u2014face heightened risks of exploitation. Society\u2019s ability to foster trust hinges on clear legal frameworks, corporate accountability, and accessible education, all of which determine whether digital spaces remain safe for diverse populations.<\/p>\n<h3>Misinformation and Weaponized Imagery in Harassment Campaigns<\/h3>\n<p>Societal attitudes and behaviors directly shape online safety and trust. When communities normalize cyberbullying, data exploitation, or misinformation, platforms struggle to maintain secure environments. Conversely, widespread digital literacy campaigns and cultural emphasis on privacy can reduce phishing risks and identity theft. Trust erodes quickly if users perceive systemic bias in content moderation or feel their data is misused by governments or corporations. Key factors include:<\/p>\n<ul>\n<li><strong>Digital literacy levels<\/strong> affect how users recognize scams.<\/li>\n<li><strong>Cultural norms<\/strong> determine tolerance for intrusive surveillance.<\/li>\n<li><strong>Regulatory frameworks<\/strong> (e.g., GDPR) influence corporate accountability.<\/li>\n<\/ul>\n<p><strong>Trust in digital ecosystems<\/strong> ultimately depends on collective societal responsibility and transparent governance. Without shared vigilance against manipulation and fraud, online spaces become fragmented, reducing both user engagement and economic participation.<\/p>\n<h2>Detection Tools and Forensic Countermeasures<\/h2>\n<p><strong>Advanced detection tools<\/strong> like SIEMs, EDRs, and memory forensics platforms have transformed digital investigations by identifying stealthy threats in real time. However, sophisticated attackers increasingly deploy forensic countermeasures\u2014such as log wiping, timestomping, and anti-forensic encryption\u2014to erase their digital footprints. As an expert, I advise defenders to implement immutable logging, kernel-level monitoring, and cryptographic hash verification to preserve evidence integrity. Proactive counter-countermeasures, including tripwire alerts and write-blockers, are essential to neutralize these obfuscation techniques and ensure your <strong>forensic readiness<\/strong> remains resilient against even the most determined adversaries.<\/p>\n<h3>Watermarking and Metadata Analysis for Synthetic Media<\/h3>\n<p>Detection tools in cybersecurity, such as intrusion detection systems and endpoint detection platforms, rely on signatures, behavioral analytics, and anomaly monitoring to identify threats. Forensic countermeasures, including log obfuscation and anti-forensic techniques, aim to disrupt these tools\u2014but also force defenders to adopt more robust, memory-focused analysis. <strong>Proactive forensic readiness is non-negotiable<\/strong> for modern security operations.<\/p>\n<blockquote><p>The strongest defense against anti-forensic tactics is a layered detection strategy that combines memory forensics, tamper-proof logs, and real-time behavioral baselines.<\/p><\/blockquote>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"606px\" alt=\"deepnude AI\" 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\"\/><\/p>\n<p>Effective counter-countermeasures require a clear hierarchy: <strong>memory forensics and immutable logging<\/strong> remain the gold standard for preserving evidence integrity. Key practices include:<\/p>\n<ul>\n<li>Deploying kernel-level monitoring to resist process evasion.<\/li>\n<li>Using write-once storage for critical system logs.<\/li>\n<li>Implementing continuous integrity checks on forensic artifacts.<\/li>\n<\/ul>\n<h3>AI-Powered Verification Systems to Flag Manipulated Body Scans<\/h3>\n<p>Detection tools and forensic countermeasures form the cutting edge of cyber defense, where adversaries seek to evade scrutiny. <strong>Digital forensic readiness<\/strong> is critical, as organizations deploy advanced endpoint detection and response (EDR) systems and network forensic analysis tools to capture artifacts like log files, memory dumps, and packet captures. Countermeasures, such as antivirus evasion, log tampering, and the use of encryption or steganography, aim to blind these tools. However, defenders fight back with integrity monitoring, write-blocking hardware, and blockchain-based logging to ensure evidence isn\u2019t altered. The cat-and-mouse game between forensic analysts and attackers constantly evolves, requiring real-time threat intelligence to stay ahead.<\/p>\n<p><strong>Q: How do forensic countermeasures attempt to hide malicious activity?<\/strong><br \/>A: Attackers use techniques like timestamp manipulation, process hollowing, or wiping logs to erase traces. Defenders counter with immutable logs and memory forensics that capture volatile data before it vanishes.<\/p>\n<h2>Regulatory Responses Across Jurisdictions<\/h2>\n<p>Regulatory responses to emerging technologies often vary wildly depending on where you are. In the European Union, the focus is on a centralized, precautionary approach, with laws like the <strong>AI Act<\/strong> aiming to classify tools by risk level, forcing companies to be upfront about how their systems work. Across the pond, the United States takes a more fragmented path, with individual states like California or Colorado experimenting with their own rules, while the federal government often prefers voluntary guidelines over strict mandates. <strong>Cross-jurisdictional compliance<\/strong> becomes a nightmare for startups, as they must tailor products to satisfy Brussels&#8217; safety checks, Washington&#8217;s lighter touch, and Asia&#8217;s mixed bag of state-led controls and corporate self-regulation. This patchwork means innovation can race ahead in some regions while being stalled in others, creating a confusing global landscape where the same app could be praised in one country and penalized in another.<\/p>\n<h3>Geographic Variations in Criminalizing Synthetic Nudity<\/h3>\n<p>Regulatory responses across jurisdictions have become a fragmented patchwork, as governments race to tame the digital economy. In Brussels, the <strong>Brussels Effect<\/strong> sets a global benchmark with the AI Act, pushing companies toward compliance before they even enter the market. Meanwhile, Washington\u2019s gridlock yields state-led experiments, like California\u2019s privacy laws that ripple far beyond its borders. Over in Beijing, the approach is centralized and swift, clamping down on algorithmic recommendation systems with surgical precision.<\/p>\n<p>This divergence creates a high-stakes game of regulatory arbitrage. Firms now navigate three distinct playbooks:<\/p>\n<ul>\n<li><strong>EU\u2019s risk-based framework<\/strong>: Emphasizes transparency and human oversight for high-risk AI, with fines up to 7% of global revenue.<\/li>\n<li><strong>US\u2019s sector-specific mix<\/strong>: The FTC targets deceptive practices while the White House nudges voluntary commitments, leaving enforcement spotty.<\/li>\n<li><strong>China\u2019s top-down controls<\/strong>: Mandates government audits of recommendation algorithms and bans deepfakes without watermarks, prioritizing social stability over innovation.<\/li>\n<\/ul>\n<p>The result? A global compliance maze where a single product must meet <mark>irreconcilable standards<\/mark>, from Europe\u2019s ban on biometric surveillance to India\u2019s push for open data. Jurisdictions now compete to define the rules of digital trust\u2014but no frontier is harmonized.\n<\/p>\n<h3>Platform Policies and Automated Content Moderation Failures<\/h3>\n<p>Navigating the world of compliance means understanding that rules change drastically depending on where you operate. The European Union takes a rigid, rights-first stance with its General Data Protection Regulation (GDPR), demanding explicit consent and hefty fines for violations. Over in China, the focus shifts sharply toward state security and data localization, requiring companies to store sensitive information on domestic servers. Meanwhile, the United States adopts a fragmented, industry-by-industry approach, with no single federal law governing data privacy. This patchwork of <strong>global data privacy regulations<\/strong> creates a major headache for multinational firms:<\/p>\n<ul>\n<li><strong>EU:<\/strong> GDPR&#8217;s &#8220;right to be forgotten&#8221; and 72-hour breach notification.<\/li>\n<li><strong>China:<\/strong> PIPL and the Cybersecurity Law, enforcing strict cross-border data transfers.<\/li>\n<li><strong>U.S.:<\/strong> State-level laws like California&#8217;s CCPA, plus sector-specific rules for health and finance.<\/li>\n<\/ul>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' width=\"600px\" alt=\"deepnude AI\" 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\"\/><\/p>\n<h2>Academic and Industry Mitigation Strategies<\/h2>\n<p>To bridge the gap between theory and real-world needs, academic and industry mitigation strategies work together in a dynamic loop. Universities focus on embedding <strong>emerging technologies and hands-on research<\/strong> into their curricula, often through partnerships that let students tackle genuine industry problems. On the flip side, companies invest heavily in continuous learning platforms and internal apprenticeships, ensuring their teams don\u2019t fall behind as fields like AI and cybersecurity evolve. This collaboration also involves sharing failure data and anonymized case studies, which helps both sides anticipate risks before they blow up. Ultimately, the goal is to create a resilient workforce where academic theory isn\u2019t just dusty textbooks, but a practical toolkit that keeps your business agile.<\/p>\n<h3>Research Into Adversarial Training to Block Undressing Models<\/h3>\n<p>Universities now embed threat modeling into core curricula, while companies deploy AI-driven tools to scan code in real time. <strong>Proactive vulnerability disclosure<\/strong> programs bridge the gap between lab research and live production systems. A major shift came when a startup shared its zero-day fix with a university team, sparking a joint training lab where students test patches on live sandboxes. <em>This fusion of theory and practice turns mistakes into learning loops.<\/em> Key actions include:<\/p>\n<ul>\n<li>Academic: courses on OWASP Top 10, capture-the-flag exercises.<\/li>\n<li>Industry: bug bounties, automated CI\/CD security gates.<\/li>\n<li>Joint: cross-sector tabletop exercises for incident response.<\/li>\n<\/ul>\n<h3>Collaborative Efforts to Shutter Hosting Services and Code Repositories<\/h3>\n<p>Academic and industry mitigation strategies converge on <strong>proactive threat intelligence sharing<\/strong> to neutralize emerging vulnerabilities. Universities prioritize foundational research into cryptographic agility and zero-trust architectures, while corporations deploy scalable tools like automated patch management and behavioral analytics. <mark>Adversarial simulation<\/mark> training, for instance, bridges theory and practice by stress-testing systems against real-world attack vectors. Key joint efforts include:<\/p>\n<ul>\n<li>Cross-sector bug bounty programs blending academic scrutiny with industry resources.<\/li>\n<li>Open-source frameworks for rapid incident response, reducing dwell time for breaches.<\/li>\n<li>Applied research grants targeting AI-driven anomaly detection in critical infrastructure.<\/li>\n<\/ul>\n<p>This dynamic synergy transforms theoretical safeguards into operational resilience, turning static defenses into adaptive, intelligence-driven shields.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Deepnude AI What It Is and Why You Should Know About It DeepNude AI once sparked a firestorm across the internet, using deep learning to digitally remove clothing from images with shocking realism. This controversial technology showcased both the immense power and the perilous ethical boundaries of generative AI models. Its rapid shutdown only fueled &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/www.lifree.co.in\/blog\/the-emergence-of-image-undressing-technology\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;The Emergence of Image Undressing Technology&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-92900","post","type-post","status-publish","format-standard","hentry","category-physiological-limitations"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.0 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>The Emergence of Image Undressing Technology - Lifree Health Tips, Advice, Incontinence Guides for Elders &amp; Senior Citizens - Lifree Blog<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.lifree.co.in\/blog\/the-emergence-of-image-undressing-technology\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"The Emergence of Image Undressing Technology - Lifree Health Tips, Advice, Incontinence Guides for Elders &amp; Senior Citizens - Lifree Blog\" \/>\n<meta property=\"og:description\" content=\"Deepnude AI What It Is and Why You Should Know About It DeepNude AI once sparked a firestorm across the internet, using deep learning to digitally remove clothing from images with shocking realism. 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