A sample reimplementation of "Neural Render Proxies for Interactive and Differentiable Lighting" (Sancho et al., Computer Graphics Forum / EGSR 2026) has been released as an ope...
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Researchers from Amazon Prime Video, Tel Aviv University, and Hebrew University of Jerusalem have introduced SpheRoPE, a zero-shot, training-free framework for generating 360° p...
Researchers from Google, ETH Zurich, the University of Tübingen, Microsoft, and TU Munich have introduced PointDiT, a diffusion model for monocular geometry estimation that oper...
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WarpHammer is a training-free novel view synthesis framework that addresses a persistent failure mode in projection-conditioned NVS pipelines: when viewpoint changes are large (...
Researcher Alexander Goslin has introduced InfiniteDiffusion, a training-free algorithm accepted to SIGGRAPH 2026 that reformulates diffusion sampling to enable unbounded, seaml...
Wan Streamer is a new end-to-end multimodal foundation model built for real-time, full-duplex audio-visual interaction within a single Transformer architecture. Unlike existing ...
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Researchers have introduced Sparse Context, a method for dramatically reducing the computational cost of reference-conditioned image generation in diffusion models. The core ins...
Researchers have introduced FlowBender, a training framework for conditional flow and diffusion models that treats a model's own alignment error as a direct input during trainin...
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Lvmin Zhang, a Stanford University graduate student, created ControlNet, an AI system designed to give artists finer-grained control over AI-generated imagery. Rather than relyi...
Un-0, an image-generation system developed by Databricks' former AI chief, has been unveiled as a demonstration of technology that could reduce artificial intelligence's power c...
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