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cs.CV2026
Diffusion-Based Material Regularization for Physics-Based Inverse Rendering
Jingwang Ling, Lifan Wu, Feng Xu +1
Reconstructing physics-based 3D assets -- geometry, materials, and illumination -- from multi-view images is a core problem in computer graphics and vision, and a prerequisite for…
cs.CV2026
Stochastic Ray Tracing for the Reconstruction of 3D Gaussian Splatting
Peiyu Xu, Xin Sun, Krishna Mullia +3
Ray-tracing-based 3D Gaussian splatting (3DGS) methods overcome the limitations of rasterization -- rigid pinhole camera assumptions, inaccurate shadows, and lack of native reflect…
cs.CV2024
NeRF as a Non-Distant Environment Emitter in Physics-based Inverse Rendering
Jingwang Ling, Ruihan Yu, Feng Xu +2
Physics-based inverse rendering enables joint optimization of shape, material, and lighting based on captured 2D images. To ensure accurate reconstruction, using a light model that…