IntrinsicAnything: Learning Diffusion Priors for Inverse Rendering Under Unknown Illumination.
Xi Chen, Sida Peng, Dongchen Yang, Yuan Liu, Bowen Pan, Chengfei Lv, Xiaowei Zhou.
arXiv 2024. [PDF] [Project]
Re-Thinking Inverse Graphics With Large Language Models.
Peter Kulits, Haiwen Feng, Weiyang Liu, Victoria Abrevaya, Michael J. Black.
arXiv 2024. [PDF] [Project]
GS-IR: 3D Gaussian Splatting for Inverse Rendering.
Zhihao Liang, Qi Zhang, Ying Feng, Ying Shan, Kui Jia.
arXiv 2023. [PDF] [Code]
GIR: 3D Gaussian Inverse Rendering for Relightable Scene Factorization.
Yahao Shi, Yanmin Wu, Chenming Wu, Xing Liu, Chen Zhao, Haocheng Feng, Jingtuo Liu, Liangjun Zhang, Jian Zhang, Bin Zhou, Errui Ding, Jingdong Wang.
arXiv 2023. [PDF]
Stanford-ORB: A Real-World 3D Object Inverse Rendering Benchmark.
Zhengfei Kuang, Yunzhi Zhang, Hong-Xing Yu, Samir Agarwala, Shangzhe Wu, Jiajun Wu.
NeurIPS 2023 Datasets and Benchmarks. [PDF] [Project] [Code]
Diffusion Posterior Illumination for Ambiguity-aware Inverse Rendering.
Linjie Lyu, Ayush Tewari, Marc Habermann, Shunsuke Saito, Michael Zollhöfer, Thomas Leimkühler, Christian Theobalt.
SIGGRAPH Asia 2023. [PDF]
TensoIR: Tensorial Inverse Rendering.
Haian Jin, Isabella Liu, Peijia Xu, Xiaoshuai Zhang, Songfang Han, Sai Bi, Xiaowei Zhou, Zexiang Xu, Hao Su.
CVPR 2023. [PDF] [Project] [Code]
Extracting Triangular 3D Models, Materials, and Lighting From Images.
Jacob Munkberg, Jon Hasselgren, Tianchang Shen, Jun Gao, Wenzheng Chen, Alex Evans, Thomas Müller, Sanja Fidler.
CVPR 2022 (oral). [PDF] [Project] [Code]
Modeling Indirect Illumination for Inverse Rendering.
Yuanqing Zhang, Jiaming Sun, Xingyi He, Huan Fu, Rongfei Jia, Xiaowei Zhou.
CVPR 2022. [PDF]
IRISformer: Dense Vision Transformers for Single-Image Inverse Rendering in Indoor Scenes.
Rui Zhu, Zhengqin Li, Janarbek Matai, Fatih Porikli, Manmohan Chandraker.
CVPR 2022. [PDF]
De-rendering 3D Objects in the Wild.
Felix Wimbauer, Shangzhe Wu, Christian Rupprecht.
CVPR 2022. [PDF] [Project]
GAN2X: Non-Lambertian Inverse Rendering of Image GANs.
Xingang Pan, Ayush Tewari, Lingjie Liu, Christian Theobalt.
3DV 2022. [PDF] [Project]
NeRFactor: Neural Factorization of Shape and Reflectance Under an Unknown Illumination.
Xiuming Zhang, Pratul P. Srinivasan, Boyang Deng, Paul Debevec, William T. Freeman, Jonathan T. Barron.
SIGGRAPH Asia (TOG) 2021. [PDF] [Project] [Code]
Unified Shape and SVBRDF Recovery using Differentiable Monte Carlo Rendering.
Fujun Luan, Shuang Zhao, Kavita Bala, Zhao Dong.
EGSR 2021. [PDF] [Project] [Video]
PhySG: Inverse Rendering with Spherical Gaussians for Physics-based Material Editing and Relighting.
Kai Zhang, Fujun Luan, Qianqian Wang, Kavita Bala, Noah Snavely.
CVPR 2021. [PDF] [Project]
Invertible Neural BRDF for Object Inverse Rendering.
Zhe Chen, Shohei Nobuhara, Ko Nishino.
ECCV 2020. [PDF] [Code]
Polarimetric Multi-View Inverse Rendering.
Jinyu Zhao, Yusuke Monno, Masatoshi Okutomi.
ECCV 2020. [PDF]
Inverse Rendering for Complex Indoor Scenes: Shape, Spatially-Varying Lighting and SVBRDF From a Single Image.
Zhengqin Li, Mohammad Shafiei, Ravi Ramamoorthi, Kalyan Sunkavalli, Manmohan Chandraker.
CVPR 2020. [PDF] [Project] [Code]
DRWR: A Differentiable Renderer without Rendering for Unsupervised 3D Structure Learning from Silhouette Images.
Zhizhong Han, Chao Chen, Yu-Shen Liu, Matthias Zwicker.
ICML 2020. [PDF]
Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer.
Wenzheng Chen, Jun Gao, Huan Ling, Edward J. Smith, Jaakko Lehtinen, Alec Jacobson, Sanja Fidler.
NeurIPS 2019. [PDF] [Code]
InverseRenderNet: Learning Single Image Inverse Rendering.
Ye Yu, William A. P. Smith.
CVPR 2019. [PDF] [Code] [IIW Dataset]
IntrinsicAvatar: Physically Based Inverse Rendering of Dynamic Humans from Monocular Videos Via Explicit Ray Tracing.
Shaofei Wang, Božidar Antić, Andreas Geiger, Siyu Tang.
CVPR 2024. [PDF] [Project] [Code]