Zexiang Xu

According to our database, Zexiang Xu authored at least 66 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

PointRecon: Online Point-based 3D Reconstruction via Ray-based 2D-3D Matching.

Ziwen Chen, Zexiang Xu, Fuxin Li

CoRR, 2024

LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias.

Haian Jin, Hanwen Jiang, Hao Tan, Kai Zhang, Sai Bi, Tianyuan Zhang, Fujun Luan, Noah Snavely, Zexiang Xu

CoRR, 2024

Long-LRM: Long-sequence Large Reconstruction Model for Wide-coverage Gaussian Splats.

Ziwen Chen, Hao Tan, Kai Zhang, Sai Bi, Fujun Luan, Yicong Hong, Fuxin Li, Zexiang Xu

CoRR, 2024

RelitLRM: Generative Relightable Radiance for Large Reconstruction Models.

Tianyuan Zhang, Zhengfei Kuang, Haian Jin, Zexiang Xu, Sai Bi, Hao Tan, He Zhang, Yiwei Hu, Milos Hasan, William T. Freeman, Kai Zhang, Fujun Luan

CoRR, 2024

PBIR-NIE: Glossy Object Capture under Non-Distant Lighting.

Guangyan Cai, Fujun Luan, Milos Hasan, Kai Zhang, Sai Bi, Zexiang Xu, Iliyan Georgiev, Shuang Zhao

CoRR, 2024

LRM-Zero: Training Large Reconstruction Models with Synthesized Data.

Desai Xie, Sai Bi, Zhixin Shu, Kai Zhang, Zexiang Xu, Yi Zhou, Sören Pirk, Arie E. Kaufman, Xin Sun, Hao Tan

CoRR, 2024

Neural Gaffer: Relighting Any Object via Diffusion.

Haian Jin, Yuan Li, Fujun Luan, Yuanbo Xiangli, Sai Bi, Kai Zhang, Zexiang Xu, Jin Sun, Noah Snavely

CoRR, 2024

DMesh: A Differentiable Representation for General Meshes.

Sanghyun Son, Matheus Gadelha, Yang Zhou, Zexiang Xu, Ming C. Lin, Yi Zhou

CoRR, 2024

MeshLRM: Large Reconstruction Model for High-Quality Mesh.

Xinyue Wei, Kai Zhang, Sai Bi, Hao Tan, Fujun Luan, Valentin Deschaintre, Kalyan Sunkavalli, Hao Su, Zexiang Xu

CoRR, 2024

MovingParts: Motion-based 3D Part Discovery in Dynamic Radiance Field.

Kaizhi Yang, Xiaoshuai Zhang, Zhiao Huang, Xuejin Chen, Zexiang Xu, Hao Su

Proceedings of the Twelfth International Conference on Learning Representations, 2024

DMV3D: Denoising Multi-view Diffusion Using 3D Large Reconstruction Model.

Yinghao Xu, Hao Tan, Fujun Luan, Sai Bi, Peng Wang, Jiahao Li, Zifan Shi, Kalyan Sunkavalli, Gordon Wetzstein, Zexiang Xu, Kai Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Instant3D: Fast Text-to-3D with Sparse-view Generation and Large Reconstruction Model.

Jiahao Li, Hao Tan, Kai Zhang, Zexiang Xu, Fujun Luan, Yinghao Xu, Yicong Hong, Kalyan Sunkavalli, Greg Shakhnarovich, Sai Bi

Proceedings of the Twelfth International Conference on Learning Representations, 2024

PF-LRM: Pose-Free Large Reconstruction Model for Joint Pose and Shape Prediction.

Peng Wang, Hao Tan, Sai Bi, Yinghao Xu, Fujun Luan, Kalyan Sunkavalli, Wenping Wang, Zexiang Xu, Kai Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

GS-LRM: Large Reconstruction Model for 3D Gaussian Splatting.

Kai Zhang, Sai Bi, Hao Tan, Yuanbo Xiangli, Nanxuan Zhao, Kalyan Sunkavalli, Zexiang Xu

Proceedings of the Computer Vision - ECCV 2024, 2024

SUPERGAUSSIAN: Repurposing Video Models for 3D Super Resolution.

Yuan Shen, Duygu Ceylan, Paul Guerrero, Zexiang Xu, Niloy J. Mitra, Shenlong Wang, Anna Frühstück

Proceedings of the Computer Vision - ECCV 2024, 2024

Neural Directional Encoding for Efficient and Accurate View-Dependent Appearance Modeling.

Liwen Wu, Sai Bi, Zexiang Xu, Fujun Luan, Kai Zhang, Iliyan Georgiev, Kalyan Sunkavalli, Ravi Ramamoorthi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Controllable Dynamic Appearance for Neural 3D Portraits.

ShahRukh Athar, Zhixin Shu, Zexiang Xu, Fujun Luan, Sai Bi, Kalyan Sunkavalli, Dimitris Samaras

Proceedings of the International Conference on 3D Vision, 2024

2023

Dictionary Fields: Learning a Neural Basis Decomposition.

Anpei Chen, Zexiang Xu, Xinyue Wei, Siyu Tang, Hao Su, Andreas Geiger

ACM Trans. Graph., August, 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, July, 2023

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

CoRR, 2023

Factor Fields: A Unified Framework for Neural Fields and Beyond.

Anpei Chen, Zexiang Xu, Xinyue Wei, Siyu Tang, Hao Su, Andreas Geiger

CoRR, 2023

MCNeRF: Monte Carlo Rendering and Denoising for Real-Time NeRFs.

Kunal Gupta, Milos Hasan, Zexiang Xu, Fujun Luan, Kalyan Sunkavalli, Xin Sun, Manmohan Chandraker, Sai Bi

Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

NeuSample: Importance Sampling for Neural Materials.

Bing Xu, Liwen Wu, Milos Hasan, Fujun Luan, Iliyan Georgiev, Zexiang Xu, Ravi Ramamoorthi

Proceedings of the ACM SIGGRAPH 2023 Conference Proceedings, 2023

One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization.

Minghua Liu, Chao Xu, Haian Jin, Linghao Chen, Mukund Varma T., Zexiang Xu, Hao Su

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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, Ravi Ramamoorthi, Zexiang Xu, Hao Su

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Strivec: Sparse Tri-Vector Radiance Fields.

Quankai Gao, Qiangeng Xu, Hao Su, Ulrich Neumann, Zexiang Xu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

TensoIR: Tensorial Inverse Rendering.

Haian Jin, Isabella Liu, Peijia Xu, Xiaoshuai Zhang, Songfang Han, Sai Bi, Xiaowei Zhou, Zexiang Xu, Hao Su

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation.

Titas Anciukevicius, Zexiang Xu, Matthew Fisher, Paul Henderson, Hakan Bilen, Niloy J. Mitra, Paul Guerrero

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Photon-Driven Neural Reconstruction for Path Guiding.

Shilin Zhu, Zexiang Xu, Tiancheng Sun, Alexandr Kuznetsov, Mark Meyer, Henrik Wann Jensen, Hao Su, Ravi Ramamoorthi

ACM Trans. Graph., 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

Proceedings of the SIGGRAPH Asia 2022 Conference Papers, 2022

Rendering Neural Materials on Curved Surfaces.

Alexandr Kuznetsov, Xuezheng Wang, Krishna Mullia, Fujun Luan, Zexiang Xu, Milos Hasan, Ravi Ramamoorthi

Proceedings of the SIGGRAPH '22: Special Interest Group on Computer Graphics and Interactive Techniques Conference, Vancouver, BC, Canada, August 7, 2022

ARF: Artistic Radiance Fields.

Kai Zhang, Nicholas I. Kolkin, Sai Bi, Fujun Luan, Zexiang Xu, Eli Shechtman, Noah Snavely

Proceedings of the Computer Vision - ECCV 2022, 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

Proceedings of the Computer Vision - ECCV 2022, 2022

TensoRF: Tensorial Radiance Fields.

Anpei Chen, Zexiang Xu, Andreas Geiger, Jingyi Yu, Hao Su

Proceedings of the Computer Vision - ECCV 2022, 2022

NeRFusion: Fusing Radiance Fields for Large-Scale Scene Reconstruction.

Xiaoshuai Zhang, Sai Bi, Kalyan Sunkavalli, Hao Su, Zexiang Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Point-NeRF: Point-based Neural Radiance Fields.

Qiangeng Xu, Zexiang Xu, Julien Philip, Sai Bi, Zhixin Shu, Kalyan Sunkavalli, Ulrich Neumann

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

RigNeRF: Fully Controllable Neural 3D Portraits.

ShahRukh Athar, Zexiang Xu, Kalyan Sunkavalli, Eli Shechtman, Zhixin Shu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

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, Ravi Ramamoorthi

ACM Trans. Graph., 2021

NeuMIP: multi-resolution neural materials.

Alexandr Kuznetsov, Krishna Mullia, Zexiang Xu, Milos Hasan, Ravi Ramamoorthi

ACM Trans. Graph., 2021

Path graphs: iterative path space filtering.

Xi Deng, Milos Hasan, Nathan Carr, Zexiang Xu, Steve Marschner

ACM Trans. Graph., 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, Rohit Pandey, Sergio Orts-Escolano, Sean Ryan Fanello, Michelle Guo, Gordon Wetzstein, Jun-Yan Zhu, Christian Theobalt, Maneesh Agrawala, Daniel B. Goldman, Michael Zollhöfer

Proceedings of the SIGGRAPH 2021: Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2021

NeLF: Neural Light-transport Field for Portrait View Synthesis and Relighting.

Tiancheng Sun, Kai-En Lin, Sai Bi, Zexiang Xu, Ravi Ramamoorthi

Proceedings of the 32nd Eurographics Symposium on Rendering, 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

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

NeuTex: Neural Texture Mapping for Volumetric Neural Rendering.

Fanbo Xiang, Zexiang Xu, Milos Hasan, Yannick Hold-Geoffroy, Kalyan Sunkavalli, Hao Su

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

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, Zexiang Xu, Kalyan Sunkavalli, Milos Hasan, Ravi Ramamoorthi, Manmohan Chandraker

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Sparse Sampling for Appearance Acquisition.

Zexiang Xu

PhD thesis, 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

Photon-Driven Neural Path Guiding.

Shilin Zhu, Zexiang Xu, Tiancheng Sun, Alexandr Kuznetsov, Mark Meyer, Henrik Wann Jensen, Hao Su, Ravi Ramamoorthi

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

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

Deep Photon Mapping.

Shilin Zhu, Zexiang Xu, Henrik Wann Jensen, Hao Su, Ravi Ramamoorthi

CoRR, 2020

Deep Kernel Density Estimation for Photon Mapping.

Shilin Zhu, Zexiang Xu, Henrik Wann Jensen, Hao Su, Ravi Ramamoorthi

Comput. Graph. Forum, 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, Kalyan Sunkavalli, Ravi Ramamoorthi

Proceedings of the Computer Vision - ECCV 2020, 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

Proceedings of the Computer Vision - ECCV 2020, 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

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Deep 3D Capture: Geometry and Reflectance From Sparse Multi-View Images.

Sai Bi, Zexiang Xu, Kalyan Sunkavalli, David J. Kriegman, Ravi Ramamoorthi

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Deep view synthesis from sparse photometric images.

Zexiang Xu, Sai Bi, Kalyan Sunkavalli, Sunil Hadap, Hao Su, 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

Learning generative models for rendering specular microgeometry.

Alexandr Kuznetsov, Milos Hasan, Zexiang Xu, Ling-Qi Yan, Bruce Walter, Nima Khademi Kalantari, Steve Marschner, Ravi Ramamoorthi

ACM Trans. Graph., 2019

2018

Deep image-based relighting from optimal sparse samples.

Zexiang Xu, Kalyan Sunkavalli, Sunil Hadap, Ravi Ramamoorthi

ACM Trans. Graph., 2018

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

2017

Robust Energy Minimization for BRDF-Invariant Shape from Light Fields.

Zhengqin Li, Zexiang Xu, Ravi Ramamoorthi, Manmohan Chandraker

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

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

Sparse Sampling for Image-Based SVBRDF Acquisition.

Jiyang Yu, Zexiang Xu, Matteo Mannino, Henrik Wann Jensen, Ravi Ramamoorthi

Proceedings of the Eurographics Workshop on Material Appearance Modeling, 2016

2014

Dynamic hair capture using spacetime optimization.

Zexiang Xu, Hsiang-Tao Wu, Lvdi Wang, Changxi Zheng, Xin Tong, Yue Qi

ACM Trans. Graph., 2014