Neural Fields Meet Explicit Geometric Representations for Inverse Rendering of Urban Scenes

Author:

Wang Zian1,Shen Tianchang1,Gao Jun1,Huang Shengyu1,Munkberg Jacob1,Hasselgren Jon1,Gojcic Zan1,Chen Wenzheng1,Fidler Sanja1

Affiliation:

1. NVIDIA

Publisher

IEEE

Reference66 articles.

1. DIB-R++: Learning to predict lighting and material with a hybrid differentiable renderer;chen;NeurIPS,2021

2. InverseRenderNet: Learning Single Image Inverse Rendering

3. Learning to predict 3d objects with an interpolation-based differentiable renderer;chen;NeurIPS,2019

4. Neilf: Neural incident light field for physically-based material estimation;yao;European Conference on Computer Vision (ECCV),0

5. Monocular dynamic view synthesis: A reality check;gao;NeurIPS,2022

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