Education

I am a second-year direct doctoral student at ETH Zurich, conducting research in Computer Vision and Learning Group (VLG) under the supervision of Prof. Siyu Tang. I completed my bachelor degree of computer science at Turing Class, Peking University, in June 2023.

Research

I’m currently a visiting student scholar at Stanford Under the supervision of Prof. Gordon Wetzstein. Early this year, I finished my internship at Google Project Starline.

Previous experience

During my undergraduate studies, I worked in Visual Computing And Learning (VCL) lab under the supervision of Prof. Baoquan Chen, Prof. Libin Liu, and Prof. Mengyu Chu. I had a great remote internship in 2022 summer with Lingjie Liu, Marc Habermann, and Prof. Christian Theobalt at MPI for Informatics.

Research Interests

For my research interests, I am interested in the intersection of computer vision and computer graphics. In particular, my current researches focus on neural scene representations, neural rendering, human performance capture and 3D reconstruction.

Publications

• Neural Texture Splatting: Expressive 3D Gaussian Splatting for View Synthesis, Geometry, and Dynamic Reconstruction
  Yiming Wang, Shaofei Wang, Marko Mihajlovic, Siyu Tang
  SIGGRAPH Asia 2025
  [Project Page(coming soon)] [Paper(coming soon)] [Code (coming soon)]

• Learning Efficient Fuse-and-Refine for Feed-Forward 3D Gaussian Splatting (aka SplatVoxel: History-Aware Novel View Streaming without Temporal Training)
  Yiming Wang, Lucy Chai, Xuan Luo, Michael Niemeyer, Manuel Lagunas, Stephen Lombardi, Siyu Tang, Tiancheng Sun
  NeurIPS 2025
  [Project Page] [Paper] [Code (coming soon)]

• Zero-Shot Human-Object Interaction Synthesis with Multimodal Priors
  Yuke Lou*, Yiming Wang*, Zhen Wu, Rui Zhao, Wenjia Wang, Mingyi Shi, Taku Komura
  arXiv 2025
  [Project Page] [Paper] [Code (coming soon)]

• SplatFormer: Point Transformer for Robust 3D Gaussian Splatting
  Yutong Chen, Marko Mihajlovic, Xiyi Chen, Yiming Wang, Sergey Prokudin, Siyu Tang
  ICLR 2025 (Spotlight)
  [Project Page] [Paper] [Code]

• Physics-Informed Learning of Characteristic Trajectories for Smoke Reconstruction
  Yiming Wang, Siyu Tang, Mengyu Chu
  SIGGRAPH 2024
  [Project Page] [Paper] [Code]

• NeuS2: Fast Learning of Neural Implicit Surfaces for Multi-view Reconstruction
  Yiming Wang*, Qin Han*, Marc Habermann, Kostas Daniilidis, Christian Theobalt, Lingjie Liu
  ICCV 2023
  [Project Page] [Paper] [Code]

• Neural Novel Actor: Learning a Generalized Animatable Neural Representation for Human Actors
  Qingzhe Gao*, Yiming Wang*, Libin Liu, Lingjie Liu, Christian Theobalt, Baoquan Chen
  TVCG 2023
  [Project Page] [Paper] [Code]

• Edit-History Vis: An Interactive Visual Exploration and Analysis on Wikipedia Edit History
  Yuhan Guo, Qin Han, Yuke Lou, Yiming Wang, Can Liu, Xiaoru Yuan
  PacificVis 2023

Selected Awards

• John Hopcroft Scholarship (2021)
• CASC first grade scholarship (2020)

Skills

Languages: Python, Pytorch, C/C++, CUDA, OpenGL, JavaScript

Projects:

• NVIDIA OPTIX (An application framework for achieving optimal ray tracing performance on the GPU, and my practice project)

• 3D human pose estimation in crowded scenes