Researchers at Tsinghua University and Z.ai have released SCAIL-2, a diffusion-based framework for controlled character animation that eliminates reliance on skeleton maps, char...
Researchers from multiple institutions have proposed a splatting-free inverse rendering framework for 3D Gaussian fields that grounds both forward rendering and backward optimiz...
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Researchers at Abu Dhabi's Mohamed bin Zayed University of Artificial Intelligence have found that Western genres account for 94% of the training data behind leading generative ...
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Hugging Face engineer Mishig Davaadorj tasked a coding agent with building an interactive website showcasing Paris monuments as 3D Gaussian splats — without touching an image ge...
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Déjà View is a new transformer model for multi-view 3D reconstruction that replaces stacked unique layers with a single transformer block applied recurrently at inference time. ...
Researchers from ETH Zurich, Google, Meta, and Athlence Sports have introduced PaGeR (Panoramic Geometry Reconstruction), a framework that adapts perspective-image 3D foundation...
Researchers from Disney Research|Studios and ETH Zurich have introduced RenderFlow, an end-to-end neural rendering framework that replaces conventional physically based renderin...
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Researchers have proposed MUCS (Mirrored Unlearning and Noise-Consistent Skew), a new approach to training data attribution (TDA) for diffusion models, addressing longstanding r...
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Stanford researchers have introduced Spectral Progressive Diffusion, a framework that exploits a known property of diffusion models — that low-frequency content is generated ear...
Script analysis has long been the province of experienced producers, story editors, and development executives who bring emotional intelligence, cultural context, and creative v...
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