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RelightAnyone: A Generalized Relightable 3D Gaussian Head Model

Disney Research’s new head-relighting model removes a big capture bottleneck: you no longer need OLAT footage for every subject. It can learn from ordinary single- or multi-view images, then generalize to relight new heads under different scene lighting. For avatar pipelines, that means less specialized capture and a much easier path to usable relightable characters.

First reported 4 months ago • 3d gaussian splatting relighting digital humans avatar capture
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RelightAnyone: A Generalized Relightable 3D Gaussian Head Model

4 months ago Read source
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RenderFlow: Single-Step Neural Rendering via Flow Matching

4 months ago Read source
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What Is It Like to Be a Noise? An Entropy-based Gaussian Noise Regularization for Diffusion Models

4 months ago Read source
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Efficient All-Pairs Correlation Volume Sampling for Optical Flow Estimation

4 months ago Read source
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Guardians of the Hair: Rescuing Soft Boundaries in Depth, Stereo, and Novel Views

4 months ago Read source