About me

I am a research scientist at Adobe Research. I received my Ph.D. degree from University of California San Diego, advised by Prof. Ravi Ramamoorthi. Before that, I obtained Bachelor of Engineering in Computer Science from The University of Hong Kong, advised by Prof. Yizhou Yu.

My research interests include various topics in computer graphics and computer vision, especially for appearance acquisition, 3D reconstruction, 3D generation, inverse rendering and neural rendering. I've received Qualcomm Innovation Fellowship (2020) and UCSD CSE Dissertation Award (2021).

Internships at Adobe: If you are interested in a research internship at Adobe Research, feel free to send me an email with your CV and research interests.

Email: sbi-at-adobe-dot-com / saibifig-at-gmail-dot-com

Selected publications

GS-LRM: Large Reconstruction Model for 3D Gaussian Splatting
Kai Zhang*, Sai Bi*, Hao Tan*, Yuanbo Xiangli, Nanxuan Zhao, Kalyan Sunkavalli, Zexiang Xu
arXiv 2024
MeshLRM: Large Reconstruction Model for High-Quality Meshes
Xinyue Wei*, Kai Zhang*, Sai Bi, Hao Tan, Fujun Luan, Valentin Deschaintre, Kalyan Sunkavalli, Hao Su, Zexiang Xu
arXiv 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
CVPR 2024 (highlight)
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
ICLR 2024 (spotlight)
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*
ICLR 2024 (spotlight)
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
ICLR 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
ICLR 2024 (oral)
MCNeRF: Monte Carlo Rendering and Denoising for Real-Time NeRFs
Kunal Gupta, Miloš Hašan, Zexiang Xu, Fujun Luan, Kalyan Sunkavalli, Xin Sun, Manmohan Chandraker, Sai Bi
SIGGRAPH Asia 2023
TensoIR: Tensorial Inverse Rendering
Haian Jin*, Isabella Liu*, Peijia Xu, Xiaoshuai Zhang, Songfang Han, Sai Bi, Xiaowei Zhou, Zexiang Xu†, Hao Su†
CVPR 2023
PaletteNeRF: Palette-based Appearance Editing of Neural Radiance Fields
Zhengfei Kuang, Fujun Luan, Sai Bi, Zhixin Shu, Gordon Wetzstein, Kalyan Sunkavalli
CVPR 2023
Differentiable Rendering of Neural SDFs through Reparameterization
Sai Praveen Bangaru, Michaël Gharbi, Tzu-Mao Li, Fujun Luan, Kalyan Sunkavalli, Miloš Hašan, Sai Bi, Zexiang Xu, Gilbert Bernstein, Frédo Durand
SIGGRAPH Asia 2022
ARF: Artistic Radiance Fields
Kai Zhang, Nick Kolkin, Sai Bi, Fujun Luan, Zexiang Xu, Eli Shechtman, Noah Snavely
ECCV 2022
Physically-based Editing of Indoor Scene Lighting from a Single Image
Zhengqin Li, Jia Shi, Sai Bi, Rui Zhu, Kalyan Sunkavalli, Miloš Hašan, Zexiang Xu, Ravi Ramamoorthi, Manmohan Chandraker
ECCV 2022 (oral)
NeRFusion: Fusing Radiance Fields for Large-Scale Scene Reconstruction
Xiaoshuai Zhang, Sai Bi, Kalyan Sunkavalli, Hao Su, Zexiang Xu
CVPR 2022 (oral)
Point-NeRF: Point-based Neural Radiance Fields
Qiangeng Xu, Zexiang Xu, Julien Philip, Sai Bi, Zhixin Shu, Kalyan Sunkavalli , Ulrich Neumann
CVPR 2022 (oral)
Deep Relightable Appearance Models for Animatable Faces
Sai Bi, Stephen Lombardi*, Shunsuke Saito*, Tomas Simon, Shih-En Wei, Kevyn McPhail, Ravi Ramamoorthi, Yaser Sheikh, Jason Saragih
NeLF: Neural Light-transport Field for Portrait View Synthesis and Relighting
Tiancheng Sun*, Kai-En Lin*, Sai Bi, Zexiang Xu, Ravi Ramamoorthi
EGSR 2021
Learning Neural Transmittance for Efficient Rendering of Reflectance Fields
Mohammad Shafiei, Sai Bi, Zhengqin Li, Aidas Liaudanskas, Rodrigo Ortiz-Cayon, Ravi Ramamoorthi
BMVC 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 Gundavarapu, Jia Shi, Sai Bi, Zexiang Xu, Hong-Xing Yu, Kalyan Sunkavalli, Miloš Hašan, Ravi Ramamoorthi, Manmohan Chandraker
CVPR 2021 (oral)
Neural Reflectance Fields for Appearance Acquisition
Sai Bi*, Zexiang Xu*, Pratul Srinivasan, Ben Mildenhall, Kalyan Sunkavalli, Miloš Hašan, Yannick Hold-Geoffroy, David Kriegman, Ravi Ramamoorthi
arXiv 2020
Deep Reflectance Volumes: Relightable Reconstructions from Multi-View Photometric Images
Sai Bi, Zexiang Xu, Kalyan Sunkavalli, Miloš Hašan, Yannick Hold-Geoffroy, David Kriegman, Ravi Ramamoorthi
ECCV 2020 (spotlight)
Deep 3D Capture: Geometry and Reflectance from Sparse Multi-View Images
Sai Bi, Zexiang Xu, Kalyan Sunkavalli, David Kriegman, Ravi Ramamoorthi
CVPR 2020
Deep CG2Real: Synthetic-to-Real Translation via Image Disentanglement
Sai Bi, Kalyan Sunkavalli, Federico Perazzi, Eli Shechtman, Vladimir Kim, Ravi Ramamoorthi
ICCV 2019
Deep View Synthesis from Sparse Photometric Images
Zexiang Xu, Sai Bi, Kalyan Sunkavalli, Sunil Hadap, Hao Su, Ravi Ramamoorthi
Deep Hybrid Real and Synthetic Training for Intrinsic Decomposition
Sai Bi, Nima Khademi Kalantari, Ravi Ramamoorthi
EGSR 2018
Patch-Based Optimization for Image-Based Texture Mapping
Sai Bi, Nima Khademi Kalantari, Ravi Ramamoorthi
An L1 Image Transform for Edge-Preserving Smoothing and Scene-Level Intrinsic Decomposition
Sai Bi, Xiaoguang Han, Yizhou Yu
ColorSketch: A Drawing Assistant for Generating Color Sketches from Photos
Guanbin Li, Sai Bi, Jue Wang, Yingqing Xu, Yizhou Yu
Computer Graphics & Applications, IEEE
Person Reidentification with Multiple Experts Using Random Subspaces
Sai Bi, Guanbin Li, Yizhou Yu
Journal of Image and Graphics(JOIG)