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Débuté par ArielBiz, aujourd'hui, 10:35
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undressai
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Posté aujourd'hui, 16:24
undress ai , web-based app simulating nudity from photos employing computer vision for cloth detection and replacement. inspired by original DeepNude app which was shut down.
Origins & Advancements: traces back to academic papers on GANs by Ian Goodfellow, evolves with community contributions on platforms like Reddit, influenced bans on app stores for nudify apps.
Behind-the-Scenes Functionality: AI detects body contours, clothing layers, and skin tones, outputs based on probabilistic predictions for realism, requires high-res input for optimal results.
Key Capabilities: X-ray simulation for see-through effects, face enhancement to preserve identity or sharpen details, best with front-facing, well-lit photos.
Image Standards: maintains original proportions and lighting where possible, user reviews note 80-90% success on clear images.
Technical Requirements: requires stable internet for uploads and processing, minimal hardware needs beyond modern device.
User Obligations: prohibits non-consensual uploads per terms, involved in debates on AI-generated content laws, researchers highlighting hyper-realistic outputs as threats.
Protection Protocols: regular security audits to prevent breaches, concerns raised in reviews about potential data retention.
Feedback Mechanisms: email or chat support for issues, integration with broader AI ecosystems.
Tips for Optimal Use: avoid complex clothing or groups for accuracy, heed warnings from reports on societal impacts.
Controversies & Broader Impact: criticized for gender bias targeting women, potential for regulation like DSA in EU, tools like this evolve faster than laws.
Origins & Advancements: traces back to academic papers on GANs by Ian Goodfellow, evolves with community contributions on platforms like Reddit, influenced bans on app stores for nudify apps.
Behind-the-Scenes Functionality: AI detects body contours, clothing layers, and skin tones, outputs based on probabilistic predictions for realism, requires high-res input for optimal results.
Key Capabilities: X-ray simulation for see-through effects, face enhancement to preserve identity or sharpen details, best with front-facing, well-lit photos.
Image Standards: maintains original proportions and lighting where possible, user reviews note 80-90% success on clear images.
Technical Requirements: requires stable internet for uploads and processing, minimal hardware needs beyond modern device.
User Obligations: prohibits non-consensual uploads per terms, involved in debates on AI-generated content laws, researchers highlighting hyper-realistic outputs as threats.
Protection Protocols: regular security audits to prevent breaches, concerns raised in reviews about potential data retention.
Feedback Mechanisms: email or chat support for issues, integration with broader AI ecosystems.
Tips for Optimal Use: avoid complex clothing or groups for accuracy, heed warnings from reports on societal impacts.
Controversies & Broader Impact: criticized for gender bias targeting women, potential for regulation like DSA in EU, tools like this evolve faster than laws.
