Yinhuai Wang

I am a third year master student at Peking University, SECE, advised by Jian Zhang. Currently, I am interning at IDEA Research, where my research focuses on physics-based human motion generation, working closely with Ailing Zeng and Lei Zhang.

Before entering Peking University, I was a start-up employee for DH-Robotics, responsible for the electronic design and motion control of the robot gripper and arm, working with Jian S Dai.

Email  /  CV  /  Google Scholar  /  Github  /  Zhihu

profile photo

I'm interested in Computer Vision, Machine Learning, Robotics, and their intersections. My long-term goal is to enable robots to master all human skills and eventually build autonomous robotic systems in physical simulations and reality.

PhysHOI: Physics-Based Imitation of Dynamic Human-Object Interaction
Yinhuai Wang, Jing Lin, Ailing Zeng, Zhengyi Luo, Jian Zhang, Lei Zhang
arXiv, 2023
project page / arXiv / code

We enable physically simulated humanoids to learn interaction skills from video demonstrations, without the need of designing task-specific rewards.

Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model
Yinhuai Wang*, Jiwen Yu*, Jian Zhang
ICLR, 2023   (Oral Presentation)
project page / arXiv / code

We bring Range-Null space Decomposition (RND) into diffusion models, enabling diverse image restoration tasks in a zero-shot manner, without extra training or optimization.

GAN Prior based Null-Space Learning for Consistent Super-Resolution
Yinhuai Wang, Yujie Hu, Jiwen Yu, Jian Zhang
AAAI, 2023   (Oral Presentation)
code / arXiv

We bring Range-Null space Decomposition (RND) into GAN-Prior based SR models to accelerate the convergence and ensure the downsampling consistency.

Panini-Net: GAN Prior based Degradation-Aware Feature Interpolation for Face Restoration
Yinhuai Wang, Yujie Hu, Jian Zhang
AAAI, 2022
code / arXiv

We fuse the generative prior and the image prior dynamically according to the degradation levels.

Unlimited-Size Diffusion Restoration
Yinhuai Wang, Jiwen Yu, Runyi Yu, Jian Zhang
CVPRW, 2023   (Oral Presentation)
paper /

Extending DDNM to solve image restoration with arbitrary image size.

NeRFocus: Neural Radiance Field for 3D Synthetic Defocus
Yinhuai Wang, Shuzhou Yang, Yujie Hu, Jian Zhang
CVPRW, 2023
code / arXiv / news

We build a thin-lens imaging model for NeRF, enabling it to render defocus effects.

Freedom: Training-free energy-guided conditional diffusion model
Jiwen Yu, Yinhuai Wang, Chen Zhao, Bernard Ghanem, Jian Zhang
ICCV, 2023
code / arXiv /

FreeDoM is a simple but effective training-free method generating results under control from various conditions using unconditional diffusion models.

LaPE: Layer-adaptive Position Embedding for Vision Transformers with Independent Layer Normalization
Runyi Yu*, Zhennan Wang*, Yinhuai Wang*, Kehan Li, Chang Liu, Haoyi Duan, Xiangyang Ji, Jie Chen,
ICCV, 2023
code / arXiv

We find that simply adding an independent LN to each layer can robustly improve the performance of vision transformers.

Null-Space Diffusion Sampling for Zero-Shot Point Cloud Completion
Xinhua Cheng, Nan Zhang, Jiwen Yu, Yinhuai Wang, Ge Li, Jian Zhang
IJCAI, 2023
paper /

We propose a novel framework named Null-Space Diffusion Sampling (NSDS) to solve the point cloud completion task in a zero-shot manner.

Travel around the world in 2019
- Riding bicycle through Xinjiang, Tibet, Nipel, and India
- Footprints span Germany, Malaysia, Nipel, India, UAE, Iran, Turkey, Lebanon, Egypt, Saudi Arabia, Ethiopia, Kenya, Tanzania, Rwanda, Hongkong, Macao, Taiwan, and Mainland China.
Build a Robot Arm From Scratch
- I built a two-axis robot arm with self-designed motor driver, FK & IK algorithm, trajectory generation, and 2D impedance control. 2018~2019

One of the original creators of these cool grippers, 2017~2018
I did
- The PCB design.
- FOC Motor Control algorithm.
- Online Trajectory Generation algorithm.
- Force Control and Impedance Control algorithm.
Reviewer for CVPR, ICLR, NeurIPS, AAAI, TIP, and TPAMI

This cool template is stolen from Jon Barron!