Researchers introduced RenderFormer-V2, a unified transformer-based neural rendering model designed to complement physics-based rendering systems by handling diverse light-transport effects including caustics, volumetric scattering, environment lighting, textured and displaced surfaces, and out-of-core data. The model aims to improve rendering efficiency and quality for complex scenes.
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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