Kai Zhang

According to our database, Kai Zhang authored at least 23 papers between 2017 and 2024.

Collaborative distances:

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

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

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

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

LRM: Large Reconstruction Model for Single Image to 3D.

Yicong Hong, Kai Zhang, Jiuxiang Gu, Sai Bi, Yang Zhou, Difan Liu, Feng Liu, Kalyan Sunkavalli, Trung Bui, Hao Tan

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

MegaScenes: Scene-Level View Synthesis at Scale.

Joseph Tung, Gene Chou, Ruojin Cai, Guandao Yang, Kai Zhang, Gordon Wetzstein, Bharath Hariharan, Noah Snavely

Proceedings of the Computer Vision - ECCV 2024, 2024

DATENeRF: Depth-Aware Text-Based Editing of NeRFs.

Sara Rojas, Julien Philip, Kai Zhang, Sai Bi, Fujun Luan, Bernard Ghanem, Kalyan Sunkavalli

Proceedings of the Computer Vision - ECCV 2024, 2024

GPT-4V(ision) is a Human-Aligned Evaluator for Text-to-3D Generation.

Tong Wu, Guandao Yang, Zhibing Li, Kai Zhang, Ziwei Liu, Leonidas J. Guibas, Dahua Lin, Gordon Wetzstein

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

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

IRON: Inverse Rendering by Optimizing Neural SDFs and Materials from Photometric Images.

Kai Zhang, Fujun Luan, Zhengqi Li, Noah Snavely

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

2021

PhySG: Inverse Rendering With Spherical Gaussians for Physics-Based Material Editing and Relighting.

Kai Zhang, Fujun Luan, Qianqian Wang, Kavita Bala, Noah Snavely

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

2020

NeRF++: Analyzing and Improving Neural Radiance Fields.

Kai Zhang, Gernot Riegler, Noah Snavely, Vladlen Koltun

CoRR, 2020

Depth Sensing Beyond LiDAR Range.

Kai Zhang, Jiaxin Xie, Noah Snavely, Qifeng Chen

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

2019

Leveraging Vision Reconstruction Pipelines for Satellite Imagery.

Kai Zhang, Noah Snavely, Jin Sun

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2017

Robust Non-line-of-sight Imaging with Single Photon Detectors.

Felix Heide, Matthew O'Toole, Kai Zhang, David B. Lindell, Steven Diamond, Gordon Wetzstein

CoRR, 2017