Dynamic hair capture using spacetime optimization. - Zexiang Xu; Hsiang-Tao Wu; Lvdi Wang; Changxi Zheng; Xin Tong 001; Yue Qi (ACM Trans. Graph., 2014)

Sparse Sampling for Image-Based SVBRDF Acquisition. - Jiyang Yu; Zexiang Xu; Matteo Mannino; Henrik Wann Jensen; Ravi Ramamoorthi (MAM@EGSR, 2016)

Minimal BRDF sampling for two-shot near-field reflectance acquisition. - Zexiang Xu; Jannik Boll Nielsen; Jiyang Yu; Henrik Wann Jensen; Ravi Ramamoorthi (ACM Trans. Graph., 2016)

Robust Energy Minimization for BRDF-Invariant Shape from Light Fields. - Zhengqin Li; Zexiang Xu; Ravi Ramamoorthi; Manmohan Chandraker (CVPR, 2017)

Learning to reconstruct shape and spatially-varying reflectance from a single image. - Zhengqin Li; Zexiang Xu; Ravi Ramamoorthi; Kalyan Sunkavalli; Manmohan Chandraker (ACM Trans. Graph., 2018)

Deep image-based relighting from optimal sparse samples. - Zexiang Xu; Kalyan Sunkavalli; Sunil Hadap; Ravi Ramamoorthi (ACM Trans. Graph., 2018)

Learning generative models for rendering specular microgeometry. - Alexandr Kuznetsov; Milos Hasan; Zexiang Xu; Ling-Qi Yan 001; Bruce Walter; Nima Khademi Kalantari; Steve Marschner; Ravi Ramamoorthi (ACM Trans. Graph., 2019)

Single image portrait relighting. - Tiancheng Sun; Jonathan T. Barron; Yun-Ta Tsai; Zexiang Xu; Xueming Yu; Graham Fyffe; Christoph Rhemann; Jay Busch; Paul E. Debevec; Ravi Ramamoorthi (ACM Trans. Graph., 2019)

Deep view synthesis from sparse photometric images. - Zexiang Xu; Sai Bi; Kalyan Sunkavalli; Sunil Hadap; Hao Su 001; Ravi Ramamoorthi (ACM Trans. Graph., 2019)

Deep 3D Capture: Geometry and Reflectance From Sparse Multi-View Images. - Sai Bi; Zexiang Xu; Kalyan Sunkavalli; David J. Kriegman; Ravi Ramamoorthi (CVPR, 2020)

Deep Stereo Using Adaptive Thin Volume Representation With Uncertainty Awareness. - Shuo Cheng; Zexiang Xu; Shilin Zhu; Zhuwen Li; Li Erran Li; Ravi Ramamoorthi; Hao Su 001 (CVPR, 2020)

Deep Reflectance Volumes: Relightable Reconstructions from Multi-view Photometric Images. - Sai Bi; Zexiang Xu; Kalyan Sunkavalli; Milos Hasan; Yannick Hold-Geoffroy; David J. Kriegman; Ravi Ramamoorthi (ECCV (3), 2020)

Deep Multi Depth Panoramas for View Synthesis. - Kai-En Lin; Zexiang Xu; Ben Mildenhall; Pratul P. Srinivasan; Yannick Hold-Geoffroy; Stephen DiVerdi; Qi Sun 003; Kalyan Sunkavalli; Ravi Ramamoorthi (ECCV (13), 2020)

Deep Kernel Density Estimation for Photon Mapping. - Shilin Zhu; Zexiang Xu; Henrik Wann Jensen; Hao Su 001; Ravi Ramamoorthi (Comput. Graph. Forum, 2020)

Deep Photon Mapping. - Shilin Zhu; Zexiang Xu; Henrik Wann Jensen; Hao Su 001; Ravi Ramamoorthi (CoRR, 2020)

OpenRooms: An End-to-End Open Framework for Photorealistic Indoor Scene Datasets. - Zhengqin Li; Ting-Wei Yu; Shen Sang; Sarah Wang; Sai Bi; Zexiang Xu; Hong-Xing Yu; Kalyan Sunkavalli; Milos Hasan; Ravi Ramamoorthi; Manmohan Chandraker (CoRR, 2020)

Neural Reflectance Fields for Appearance Acquisition. - Sai Bi; Zexiang Xu; Pratul P. Srinivasan; Ben Mildenhall; Kalyan Sunkavalli; Milos Hasan; Yannick Hold-Geoffroy; David J. Kriegman; Ravi Ramamoorthi (CoRR, 2020)

Photon-Driven Neural Path Guiding. - Shilin Zhu; Zexiang Xu; Tiancheng Sun; Alexandr Kuznetsov; Mark Meyer; Henrik Wann Jensen; Hao Su 001; Ravi Ramamoorthi (CoRR, 2020)

Light stage super-resolution: continuous high-frequency relighting. - Tiancheng Sun; Zexiang Xu; Xiuming Zhang; Sean Ryan Fanello; Christoph Rhemann; Paul E. Debevec; Yun-Ta Tsai; Jonathan T. Barron; Ravi Ramamoorthi (ACM Trans. Graph., 2020)

Sparse Sampling for Appearance Acquisition. - Zexiang Xu (2020)

OpenRooms: An Open Framework for Photorealistic Indoor Scene Datasets. - Zhengqin Li; Ting-Wei Yu; Shen Sang; Sarah Wang; Meng Song; Yuhan Liu; Yu-Ying Yeh; Rui Zhu; Nitesh B. Gundavarapu; Jia Shi; Sai Bi; Hong-Xing Yu; et al. (CVPR, 2021)

NeuTex: Neural Texture Mapping for Volumetric Neural Rendering. - Fanbo Xiang; Zexiang Xu; Milos Hasan; Yannick Hold-Geoffroy; Kalyan Sunkavalli; Hao Su 001 (CVPR, 2021)

MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereo. - Anpei Chen; Zexiang Xu; Fuqiang Zhao; Xiaoshuai Zhang; Fanbo Xiang; Jingyi Yu; Hao Su 001 (ICCV, 2021)

NeLF: Neural Light-transport Field for Portrait View Synthesis and Relighting. - Tiancheng Sun; Kai-En Lin; Sai Bi; Zexiang Xu; Ravi Ramamoorthi (EGSR (DL), 2021)

Advances in neural rendering. - Ayush Tewari; Ohad Fried; Justus Thies; Vincent Sitzmann; Stephen Lombardi; Zexiang Xu; Tomas Simon; Matthias Nießner; Edgar Tretschk; Lingjie Liu; Ben Mildenhall; Pratul P. Srinivasan; et al. (SIGGRAPH Courses, 2021)

Path graphs: iterative path space filtering. - Xi Deng; Milos Hasan; Nathan Carr 001; Zexiang Xu; Steve Marschner (ACM Trans. Graph., 2021)

NeuMIP: multi-resolution neural materials. - Alexandr Kuznetsov; Krishna Mullia; Zexiang Xu; Milos Hasan; Ravi Ramamoorthi (ACM Trans. Graph., 2021)

Hierarchical neural reconstruction for path guiding using hybrid path and photon samples. - Shilin Zhu; Zexiang Xu; Tiancheng Sun; Alexandr Kuznetsov; Mark Meyer; Henrik Wann Jensen; Hao Su 001; Ravi Ramamoorthi (ACM Trans. Graph., 2021)

RigNeRF: Fully Controllable Neural 3D Portraits. - ShahRukh Athar; Zexiang Xu; Kalyan Sunkavalli; Eli Shechtman; Zhixin Shu (CVPR, 2022)

Point-NeRF: Point-based Neural Radiance Fields. - Qiangeng Xu; Zexiang Xu; Julien Philip; Sai Bi; Zhixin Shu; Kalyan Sunkavalli; Ulrich Neumann (CVPR, 2022)

PhotoScene: Photorealistic Material and Lighting Transfer for Indoor Scenes. - Yu-Ying Yeh; Zhengqin Li; Yannick Hold-Geoffroy; Rui Zhu; Zexiang Xu; Milos Hasan; Kalyan Sunkavalli; Manmohan Chandraker (CVPR, 2022)

NeRFusion: Fusing Radiance Fields for Large-Scale Scene Reconstruction. - Xiaoshuai Zhang; Sai Bi; Kalyan Sunkavalli; Hao Su 001; Zexiang Xu (CVPR, 2022)

TensoRF: Tensorial Radiance Fields. - Anpei Chen; Zexiang Xu; Andreas Geiger 001; Jingyi Yu; Hao Su 001 (ECCV (32), 2022)

Physically-Based Editing of Indoor Scene Lighting from a Single Image. - Zhengqin Li; Jia Shi; Sai Bi; Rui Zhu; Kalyan Sunkavalli; Milos Hasan; Zexiang Xu; Ravi Ramamoorthi; Manmohan Chandraker (ECCV (6), 2022)

ARF: Artistic Radiance Fields. - Kai Zhang 045; Nicholas I. Kolkin; Sai Bi; Fujun Luan; Zexiang Xu; Eli Shechtman; Noah Snavely (ECCV (31), 2022)

Rendering Neural Materials on Curved Surfaces. - Alexandr Kuznetsov; Xuezheng Wang; Krishna Mullia; Fujun Luan; Zexiang Xu; Milos Hasan; Ravi Ramamoorthi (SIGGRAPH (Conference Paper Track), 2022)

Differentiable Rendering of Neural SDFs through Reparameterization. - Sai Praveen Bangaru; Michaël Gharbi; Fujun Luan; Tzu-Mao Li; Kalyan Sunkavalli; Milos Hasan; Sai Bi; Zexiang Xu; Gilbert Bernstein; Frédo Durand (SIGGRAPH Asia, 2022)

Photon-Driven Neural Reconstruction for Path Guiding. - Shilin Zhu; Zexiang Xu; Tiancheng Sun; Alexandr Kuznetsov; Mark Meyer; Henrik Wann Jensen; Hao Su 001; Ravi Ramamoorthi (ACM Trans. Graph., 2022)

RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation. - Titas Anciukevicius; Zexiang Xu; Matthew Fisher; Paul Henderson; Hakan Bilen; Niloy J. Mitra; Paul Guerrero 001 (CVPR, 2023)

TensoIR: Tensorial Inverse Rendering. - Haian Jin; Isabella Liu; Peijia Xu; Xiaoshuai Zhang; Songfang Han; Sai Bi; Xiaowei Zhou 001; Zexiang Xu; Hao Su 001 (CVPR, 2023)

Strivec: Sparse Tri-Vector Radiance Fields. - Quankai Gao; Qiangeng Xu; Hao Su 001; Ulrich Neumann; Zexiang Xu (ICCV, 2023)

OpenIllumination: A Multi-Illumination Dataset for Inverse Rendering Evaluation on Real Objects. - Isabella Liu; Linghao Chen; Ziyang Fu; Liwen Wu; Haian Jin; Zhong Li; Chin Ming Ryan Wong; Yi Xu 002; Ravi Ramamoorthi; Zexiang Xu; Hao Su 001 (NeurIPS, 2023)

One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization. - Minghua Liu; Chao Xu 016; Haian Jin; Linghao Chen; Mukund Varma T.; Zexiang Xu; Hao Su 001 (NeurIPS, 2023)

NeuSample: Importance Sampling for Neural Materials. - Bing Xu; Liwen Wu; Milos Hasan; Fujun Luan; Iliyan Georgiev; Zexiang Xu; Ravi Ramamoorthi (SIGGRAPH (Conference Paper Track), 2023)

MCNeRF: Monte Carlo Rendering and Denoising for Real-Time NeRFs. - Kunal Gupta; Milos Hasan; Zexiang Xu; Fujun Luan; Kalyan Sunkavalli; Xin Sun 014; Manmohan Chandraker; Sai Bi (SIGGRAPH Asia, 2023)

Factor Fields: A Unified Framework for Neural Fields and Beyond. - Anpei Chen; Zexiang Xu; Xinyue Wei; Siyu Tang 001; Hao Su 001; Andreas Geiger 001 (CoRR, 2023)

Neural Free-Viewpoint Relighting for Glossy Indirect Illumination. - Nithin Raghavan; Yan Xiao; Kai-En Lin; Tiancheng Sun; Sai Bi; Zexiang Xu; Tzu-Mao Li; Ravi Ramamoorthi (Comput. Graph. Forum, 2023)

Dictionary Fields: Learning a Neural Basis Decomposition. - Anpei Chen; Zexiang Xu; Xinyue Wei; Siyu Tang 001; Hao Su 001; Andreas Geiger 001 (ACM Trans. Graph., 2023)

Controllable Dynamic Appearance for Neural 3D Portraits. - ShahRukh Athar; Zhixin Shu; Zexiang Xu; Fujun Luan; Sai Bi; Kalyan Sunkavalli; Dimitris Samaras (3DV, 2024)

Neural Directional Encoding for Efficient and Accurate View-Dependent Appearance Modeling. - Liwen Wu; Sai Bi; Zexiang Xu; Fujun Luan; Kai Zhang 045; Iliyan Georgiev; Kalyan Sunkavalli; Ravi Ramamoorthi (CVPR, 2024)

SUPERGAUSSIAN: Repurposing Video Models for 3D Super Resolution. - Yuan Shen; Duygu Ceylan; Paul Guerrero 001; Zexiang Xu; Niloy J. Mitra; Shenlong Wang; Anna Frühstück (ECCV (29), 2024)

GS-LRM: Large Reconstruction Model for 3D Gaussian Splatting. - Kai Zhang 045; Sai Bi; Hao Tan 002; Yuanbo Xiangli; Nanxuan Zhao; Kalyan Sunkavalli; Zexiang Xu (ECCV (22), 2024)

PF-LRM: Pose-Free Large Reconstruction Model for Joint Pose and Shape Prediction. - Peng Wang 099; Hao Tan 002; Sai Bi; Yinghao Xu 001; Fujun Luan; Kalyan Sunkavalli; Wenping Wang 001; Zexiang Xu; Kai Zhang 045 (ICLR, 2024)

Instant3D: Fast Text-to-3D with Sparse-view Generation and Large Reconstruction Model. - Jiahao Li; Hao Tan 002; Kai Zhang 045; Zexiang Xu; Fujun Luan; Yinghao Xu 001; Yicong Hong; Kalyan Sunkavalli; Greg Shakhnarovich; Sai Bi (ICLR, 2024)

DMV3D: Denoising Multi-view Diffusion Using 3D Large Reconstruction Model. - Yinghao Xu 001; Hao Tan 002; Fujun Luan; Sai Bi; Peng Wang 099; Jiahao Li; Zifan Shi; Kalyan Sunkavalli; Gordon Wetzstein; Zexiang Xu; Kai Zhang 045 (ICLR, 2024)

MovingParts: Motion-based 3D Part Discovery in Dynamic Radiance Field. - Kaizhi Yang; Xiaoshuai Zhang; Zhiao Huang; Xuejin Chen; Zexiang Xu; Hao Su 001 (ICLR, 2024)

DMesh: A Differentiable Mesh Representation. - Sanghyun Son 003; Matheus Gadelha; Yang Zhou 019; Zexiang Xu; Ming C. Lin; Yi Zhou 023 (NeurIPS, 2024)

Neural Gaffer: Relighting Any Object via Diffusion. - Haian Jin; Yuan Li; Fujun Luan; Yuanbo Xiangli; Sai Bi; Kai Zhang 045; Zexiang Xu; Jin Sun 009; Noah Snavely (NeurIPS, 2024)

LRM-Zero: Training Large Reconstruction Models with Synthesized Data. - Desai Xie; Sai Bi; Zhixin Shu; Kai Zhang 045; Zexiang Xu; Yi Zhou 023; Sören Pirk; Arie E. Kaufman; Xin Sun 014; Hao Tan 002 (NeurIPS, 2024)

MeshLRM: Large Reconstruction Model for High-Quality Mesh. - Xinyue Wei; Kai Zhang 045; Sai Bi; Hao Tan 002; Fujun Luan; Valentin Deschaintre; Kalyan Sunkavalli; Hao Su 001; Zexiang Xu (CoRR, 2024)

DMesh: A Differentiable Representation for General Meshes. - Sanghyun Son 003; Matheus Gadelha; Yang Zhou 019; Zexiang Xu; Ming C. Lin; Yi Zhou 023 (CoRR, 2024)

PBIR-NIE: Glossy Object Capture under Non-Distant Lighting. - Guangyan Cai; Fujun Luan; Milos Hasan; Kai Zhang 045; Sai Bi; Zexiang Xu; Iliyan Georgiev; Shuang Zhao (CoRR, 2024)

Long-LRM: Long-sequence Large Reconstruction Model for Wide-coverage Gaussian Splats. - Ziwen Chen; Hao Tan 002; Kai Zhang 045; Sai Bi; Fujun Luan; Yicong Hong; Fuxin Li; Zexiang Xu (CoRR, 2024)

PointRecon: Online Point-based 3D Reconstruction via Ray-based 2D-3D Matching. - Ziwen Chen; Zexiang Xu; Fuxin Li (CoRR, 2024)

DMesh++: An Efficient Differentiable Mesh for Complex Shapes. - Sanghyun Son 003; Matheus Gadelha; Yang Zhou 019; Matthew Fisher; Zexiang Xu; Yi-Ling Qiao; Ming C. Lin; Yi Zhou 023 (CoRR, 2024)

Generating 3D-Consistent Videos from Unposed Internet Photos. - Gene Chou; Kai Zhang 045; Sai Bi; Hao Tan 002; Zexiang Xu; Fujun Luan; Bharath Hariharan; Noah Snavely (CVPR, 2025)

Turbo3D: Ultra-fast Text-to-3D Generation. - Hanzhe Hu; Tianwei Yin; Fujun Luan; Yiwei Hu; Hao Tan 002; Zexiang Xu; Sai Bi; Shubham Tulsiani; Kai Zhang 045 (CVPR, 2025)

MegaSynth: Scaling Up 3D Scene Reconstruction with Synthesized Data. - Hanwen Jiang; Zexiang Xu; Desai Xie; Ziwen Chen; Haian Jin; Fujun Luan; Zhixin Shu; Kai Zhang 045; Sai Bi; Xin Sun 014; Jiuxiang Gu; Qixing Huang; et al. (CVPR, 2025)

Buffer Anytime: Zero-Shot Video Depth and Normal from Image Priors. - Zhengfei Kuang; Tianyuan Zhang; Kai Zhang 045; Hao Tan 002; Sai Bi; Yiwei Hu; Zexiang Xu; Milos Hasan; Gordon Wetzstein; Fujun Luan (CVPR, 2025)

LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias. - Haian Jin; Hanwen Jiang; Hao Tan 002; Kai Zhang 045; Sai Bi; Tianyuan Zhang; Fujun Luan; Noah Snavely; Zexiang Xu (ICLR, 2025)

RelitLRM: Generative Relightable Radiance for Large Reconstruction Models. - Tianyuan Zhang; Zhengfei Kuang; Haian Jin; Zexiang Xu; Sai Bi; Hao Tan 002; He Zhang 004; Yiwei Hu; Milos Hasan; William T. Freeman; Kai Zhang 045; Fujun Luan (ICLR, 2025)

NeuManifold: Neural Watertight Manifold Reconstruction with Efficient and High-Quality Rendering Support. - Xinyue Wei; Fanbo Xiang; Sai Bi; Anpei Chen; Kalyan Sunkavalli; Zexiang Xu; Hao Su 001 (WACV, 2025)

Gaussian Mixture Flow Matching Models. - Hansheng Chen 001; Kai Zhang 045; Hao Tan 002; Zexiang Xu; Fujun Luan; Leonidas J. Guibas; Gordon Wetzstein; Sai Bi (CoRR, 2025)

Neural BRDF Importance Sampling by Reparameterization. - Liwen Wu; Sai Bi; Zexiang Xu; Hao Tan 002; Kai Zhang 045; Fujun Luan; Haolin Lu; Ravi Ramamoorthi (CoRR, 2025)

4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time. - Ziqiao Ma 001; Xuweiyi Chen; Shoubin Yu; Sai Bi; Kai Zhang 045; Ziwen Chen; Sihan Xu; Jianing Yang; Zexiang Xu; Kalyan Sunkavalli; Mohit Bansal; Joyce Chai; et al. (CoRR, 2025)

Advances in Feed-Forward 3D Reconstruction and View Synthesis: A Survey. - Jiahui Zhang; Yuelei Li; Anpei Chen; Muyu Xu; Kunhao Liu; Jianyuan Wang; Xiao-Xiao Long; Hanxue Liang; Zexiang Xu; Hao Su; Christian Theobalt; Christian Rupprecht 001; et al. (CoRR, 2025)

RigAnything: Template-Free Autoregressive Rigging for Diverse 3D Assets. - Isabella Liu; Zhan Xu; Wang Yifan 001; Hao Tan 002; Zexiang Xu; Xiaolong Wang 004; Hao Su 001; Zifan Shi (ACM Trans. Graph., 2025)

IMLS-Splatting: Efficient Mesh Reconstruction from Multi-view Images via Point Representation. - Kaizhi Yang; Liu Dai; Isabella Liu; Xiaoshuai Zhang; Xiaoyan Sun 001; Xuejin Chen; Zexiang Xu; Hao Su 001 (ACM Trans. Graph., 2025)