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RenderFormer-V2: Neural Rendering with Heterogeneous Scene Primitives

Zeng, Chong et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognitiongraphicsmachine-learning
We present 'RenderFormer-V2', a unified learned transformer-based neural rendering model, complementary to modern physics-based rendering systems, that can handle diverse light-transport effects such as caustics, volumetric scattering, environment lighting, textured and displaced surfaces and out-of
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