Sida Peng (彭思达)

Tenure-track Assistant Professor

3D Vision Group
School of Software Technology
Zhejiang University

Email: pengsida at zju dot edu dot cn

[Google Scholar][GitHub]

Short Bio

I am an assistant professor (ZJU-100 Young Professor) at Zhejiang University. I received my Ph.D. degree from College of Computer Science and Technology at Zhejiang University in 2023, supervised by Prof. Xiaowei Zhou, and obtained my bachelor degree in Information Engineering from Zhejiang University in 2018. My research focuses on 3D reconstruction, rendering, and 3D generation. I received the 2020 CCF-CV Excellent Young Researcher Award (3 in China were awarded) and was selected as the 2022 Apple Scholar in AI/ML (15 in the world were awarded). I have been maintaining a handbook on how to do research, which have received more than 2500 stars on GitHub.

I work closely with Prof. Xiaowei Zhou. We are looking for students, postdocs and research assistants, please apply to our lab here if you are interested in working with us.

News

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Preprints

Relightable and Animatable Neural Avatar from Sparse-View Video
Zhen Xu, Sida Peng, Chen Geng, Linzhan Mou, Zihan Yan, Jiaming Sun, Hujun Bao, Xiaowei Zhou
[Paper][Project Page]
Dyn-E: Local Appearance Editing of Dynamic Neural Radiance Fields
Shangzhan Zhang, Sida Peng, Yinji Shentu, Qing Shuai, Tianrun Chen, Kaicheng Yu, Hujun Bao, Xiaowei Zhou
[Paper][Project Page]
Detector-Free Structure from Motion
Xingyi He, Jiaming Sun, Yifan Wang, Sida Peng, Qixing Huang, Hujun Bao, Xiaowei Zhou
First Place in Image Matching Challenge 2023.
[Paper][Project Page][Code]
Deep Generative Models on 3D Representations: A Survey
Zifan Shi*, Sida Peng*, Yinghao Xu*, Yiyi Liao, Yujun Shen (* equal contribution)
[Paper][Project Page]
Animatable Implicit Neural Representations for Creating Realistic Avatars from Videos
Sida Peng, Zhen Xu, Junting Dong, Qianqian Wang, Shangzhan Zhang, Qing Shuai, Hujun Bao, Xiaowei Zhou
[Paper][Supplementary Material][Project Page][Code]

Publications (* denotes equal contribution, and † denotes the corresponding author)

2023

Benchmarking and Analyzing 3D-aware Image Synthesis with a Modularized Codebase
Qiuyu Wang, Zifan Shi, Kecheng Zheng, Yinghao Xu, Sida Peng, Yujun Shen
NeurIPS 2023 Datasets and Benchmarks Track.
[Paper][Code]
IM4D: High-Fidelity and Real-Time Novel View Synthesis for Dynamic Scenes
Haotong Lin, Sida Peng†, Zhen Xu, Tao Xie, Xingyi He, Hujun Bao, and Xiaowei Zhou
SIGGRAPH Asia 2023.
iVS-Net: Learning Human View Synthesis from Internet Videos
Junting Dong, Qi Fang, Tianshuo Yang, Qing Shuai, Chengyu Qiao, Sida Peng†
ICCV 2023.
Hierarchical Generation of Human-Object Interactions with Diffusion Probabilistic Models
Huaijin Pi, Sida Peng, Minghui Yang, Xiaowei Zhou, Hujun Bao
ICCV 2023.
Ponder: Point Cloud Pre-training via Neural Rendering
Di Huang, Sida Peng, Tong He, Xiaowei Zhou, Wanli Ouyang
ICCV 2023.
[Paper][Project Page]
Representing Volumetric Videos as Dynamic MLP Maps
Sida Peng*, Yunzhi Yan*, Qing Shuai, Hujun Bao, Xiaowei Zhou
CVPR 2023.
[Paper][Project Page][Code]
Learning Neural Volumetric Representations of Dynamic Humans in Minutes
Chen Geng*, Sida Peng*, Zhen Xu*, Hujun Bao, Xiaowei Zhou
CVPR 2023.
[Paper][Project Page][Code]
Painting 3D Nature in 2D: View Synthesis of Natural Scenes from a Single Semantic Mask
Shangzhan Zhang, Sida Peng, Tianrun Chen, Linzhan Mou, Haotong Lin, Kaicheng Yu, Yiyi Liao, Xiaowei Zhou
CVPR 2023.
[Paper][Project Page][Code]
AutoRecon: Automated 3D Object Discovery and Reconstruction
Yuang Wang, Xingyi He, Sida Peng, Haotong Lin, Hujun Bao, Xiaowei Zhou
CVPR 2023 Highlight.
[Paper][Project Page][Code]
Learning Human Mesh Recovery in 3D Scenes
Zehong Shen, Zhi Cen, Sida Peng, Qing Shuai, Hujun Bao, Xiaowei Zhou
CVPR 2023.
[Paper][Project Page][Code]
Grid-guided Neural Radiance Fields for Large Urban Scenes
Linning Xu*, Yuanbo Xiangli*, Sida Peng, Xingang Pan, Nanxuan Zhao, Christian Theobalt, Bo Dai, Dahua Lin
CVPR 2023.
[Paper][Project Page]
Neural Scene Chronology
Haotong Lin, Qianqian Wang, Ruojin Cai, Sida Peng, Hadar Elor, Xiaowei Zhou, Noah Snavely
CVPR 2023.
[Paper][Project Page][Code]
DisCoScene: Spatially Disentangled Generative Radiance Fields for Controllable 3D-aware Scene Synthesis
Yinghao Xu, Menglei Chai, Zifan Shi, Sida Peng, Ivan Skorokhodov, Aliaksandr Siarohin, Ceyuan Yang, Yujun Shen, Hsin-Ying Lee, Bolei Zhou, Sergey Tulyakov
CVPR 2023 Highlight.
[Paper][Project Page][Code]
Learning 3D-aware Image Synthesis with Unknown Pose Distribution
Zifan Shi*, Yujun Shen*, Yinghao Xu, Sida Peng, Yiyi Liao, Sheng Guo, Qifeng Chen, Dit-Yan Yeung
CVPR 2023.
[Paper][Project Page][Code]
Implicit Neural Representations with Structured Latent Codes for Human Body Modeling
Sida Peng, Chen Geng, Yuanqing Zhang, Yinghao Xu, Qianqian Wang, Qing Shuai, Xiaowei Zhou, Hujun Bao
TPAMI 2023.
[Paper][Code]

2022

TotalSelfScan: Learning Full-body Avatars from Self-Portrait Videos of Faces, Hands, and Bodies
Junting Dong, Qi Fang, Yudong Guo, Sida Peng, Qing Shuai, Hujun Bao, Xiaowei Zhou
NeurIPS 2022.
[Paper][Project Page][Code]
Efficient Neural Radiance Fields for Interactive Free-viewpoint Video
Haotong Lin*, Sida Peng*, Zhen Xu, Yunzhi Yan, Qing Shuai, Hujun Bao, Xiaowei Zhou
SIGGRAPH Asia 2022.
[Paper][Project Page][Code]
MPS-NeRF: Generalizable 3D Human Rendering from Multiview Images
Xiangjun Gao, Jiaolong Yang, Jongyoo Kim, Sida Peng, Zicheng Liu, Xin Tong
TPAMI 2022.
[Paper][Project Page][Code]
NerfCap: Human Performance Capture with Dynamic Neural Radiance Fields
Kangkan Wang, Sida Peng, Xiaowei Zhou, Jian Yang, and Guofeng Zhang
TVCG 2022.
[Paper]
Gen6D: Generalizable Model-Free 6-DoF Object Pose Estimation from RGB Images
Yuan Liu, Yilin Wen, Sida Peng, Cheng Lin, Xiaoxiao Long, Taku Komura, Wenping Wang
ECCV 2022.
[Paper][Project Page][Code]
Learning to Estimate Object Poses without Real Image Annotations
Haotong Lin*, Sida Peng*, Zhize Zhou, Xiaowei Zhou
IJCAI 2022.
[Paper][Code]
Novel View Synthesis of Human Interactions from Sparse Multi-view Videos
Qing Shuai, Chen Geng, Qi Fang, Sida Peng, Wenhao Shen, Hujun Bao, Xiaowei Zhou
SIGGRAPH 2022.
[Paper][Project Page][Code]
Neural 3D Scene Reconstruction with the Manhattan-world Assumption
Haoyu Guo*, Sida Peng*, Haotong Lin, Qianqian Wang, Guofeng Zhang, Hujun Bao, Xiaowei Zhou
CVPR 2022 Oral presentation.
[Paper][Supplementary Material][Project Page][Code]
3D-aware Image Synthesis via Learning Structural and Textural Representations
Yinghao Xu, Sida Peng, Ceyuan Yang, Yujun Shen, Bolei Zhou
CVPR 2022.
[Paper][Project Page][Code]
Neural Rays for Occlusion-aware Image-based Rendering
Yuan Liu, Sida Peng, Lingjie Liu, Qianqian Wang, Peng Wang, Christian Theobalt, Xiaowei Zhou, Wenping Wang
CVPR 2022.
[Paper][Project Page][Code]
Towards Efficient and Photorealistic 3D Human Reconstruction: A Brief Survey
Lu Chen, Sida Peng, Xiaowei Zhou
Visual Informatics 2022.
[Paper]

2021

Animatable Neural Radiance Fields for Modeling Dynamic Human Bodies
Sida Peng*, Junting Dong*, Qianqian Wang, Shangzhan Zhang, Qing Shuai, Xiaowei Zhou, Hujun Bao
ICCV 2021.
[Paper][Supplementary Material][Project Page][Code][Extension]
Neural Body: Implicit Neural Representations with Structured Latent Codes for Novel View Synthesis of Dynamic Humans
Sida Peng, Yuanqing Zhang, Yinghao Xu, Qianqian Wang, Qing Shuai, Hujun Bao, Xiaowei Zhou
CVPR 2021 Best paper candidate.
[Paper][Supplementary Material][Project Page][Code]

2020

PVNet: Pixel-wise Voting Network for 6DoF Object Pose Estimation
Sida Peng*, Xiaowei Zhou*, Yuan Liu, Haotong Lin, Qixing Huang, Hujun Bao
TPAMI 2020.
[Paper][Code]
Deep Snake for Real-Time Instance Segmentation
Sida Peng, Wen Jiang, Huaijin Pi, Xiuli Li, Hujun Bao, Xiaowei Zhou
CVPR 2020 Oral presentation.
[Paper][Code]

2019

GIFT: Learning Transformation-Invariant Dense Visual Descriptors via Group CNNs
Yuan Liu, Zehong Shen, Zhixuan Lin, Sida Peng, Hujun Bao, Xiaowei Zhou
NeurIPS 2019.
[Paper][Supplementary Material][Project Page][Code]
PVNet: Pixel-wise Voting Network for 6DoF Estimation
Sida Peng*, Yuan Liu*, Qixing Huang, Xiaowei Zhou, Hujun Bao
CVPR 2019 Oral presentation.
[Paper][Supplementary Material][Project Page][Code]

Honors

Teaching Assistant