Li MA

Li MA 马力

I'm currently a Research Scientist at Eyeline Labs working with Paul Debevec. I obtained my PhD from the Dept. of Computer Science & Engineering in the Hong Kong University of Science and Technology (HKUST). My PhD advisor is Prof. Pedro V. SANDER, and I worked closely with Prof. Liao Jing. Before that, I received my Bachelor's Degree in EE from Zhejiang University in 2019.

I was a research intern at Meta Reality Labs from May to October 2023, with Michael Zollhoefer and Christian Richardt as my managers. Previously, I was a research intern at Tencent AI Lab under the guidance of Xiaoyu Li from August 2021 to September 2022.

I'm interested in Novel View Synthesis, Neural Rendering, Differentiable Rendering, and other graphics-related vision topics.

Before I delve into neural rendering research, I've also engaged in some low-level image and video processing tasks, including image/video stitching, inpainting, HDR creation, style transfer, video stabilization, and optical flow estimation.

Email / Github / Google Scholar / Twitter / LinkedIn / CV

Publications

Representative papers are highlighted. * indicates equal contribution. Hover to discover more!

	Detail Enhanced Gaussian Splatting for Large-Scale Volumetric Capture Julien Philip, Li Ma, Pascal Clausen, Wenqi Xian, Ahmet Levent Taşel, Mingming He, Xueming Yu, David M George, Ning Yu, Oliver Pilarski, Paul Debevec Siggraph Asia, 2025 project page / arXiv / pdf / supplemental A large-scale, multi-performer 4D volumetric capture system with detail-enhanced facial close-ups at up to 4K resolution.
	GSWT: Gaussian Splatting Wang Tiles Yunfan Zeng, Li Ma, Pedro V. Sander Siggraph Asia, 2025 project page (TBD) / arXiv (TBD) A tile-based Gaussian Splatting rendering system for large-scale terrain visualization
	Virtually Being: Customizing Camera-Controllable Video Diffusion Models with Multi-View Performance Captures Yuancheng Xu, Wenqi Xian, Li Ma, Julien Philip, Ahmet Levent Taşel, Yiwei Zhao, Ryan Burgert, Mingming He, Oliver Hermann, Oliver Pilarski, Rahul Garg, Paul Debevec, Ning Yu Siggraph Asia, 2025 project page / arXiv Mult-view identity perserving and 3D camera control for video diffusion model.
	Lux Post Facto: Learning Portrait Performance Relighting with Conditional Video Diffusion and a Hybrid Dataset Yiqun Mei, Mingming He, Li Ma, Julien Philip, Wenqi Xian, David M George, Xueming Yu, Gabriel Dedic, Ahmet Levent Taşel, Ning Yu, Vishal M. Patel, Paul Debevec CVPR, 2025 project page / arXiv / pdf A generalizable portrait video relighting method that produces both photorealistic and temporally consistent lighting effects.
	Go-with-the-Flow: Motion-Controllable Video Diffusion Models Using Real-Time Warped Noise Ryan Burgert, Yuancheng Xu, Wenqi Xian, Oliver Pilarski, Pascal Clausen, Mingming He, Li Ma, Yitong Deng, Lingxiao Li, Mohsen Mousavi, Michael Ryoo, Paul Debevec, Ning Yu CVPR, 2025 (Oral) project page / arXiv / github Fine-tuning a video model using warped nosie allows for motion control!
	DifFRelight: Diffusion-Based Facial Performance Relighting Mingming He, Pascal Clausen, Ahmet Levent Taşel, Li Ma, Oliver Pilarski, Wenqi Xian, Laszlo Rikker, Xueming Yu, Ryan Burgert, Ning Yu, Paul Debevec Siggraph Asia*, 2024 project page / arXiv / pdf A personalized diffusion-based relighting model that achieves photorealistic facial performance relighting.
	Fisheye-GS: Lightweight and Extensible Gaussian Splatting Module for Fisheye Cameras Zimu Liao, Siyan Chen, Rong Fu, Yi Wang, Zhongling Su, Hao Luo, Li Ma, Linning Xu, Bo Dai, Hengjie Li, Zhilin Pei, Xingcheng Zhan ECCVW, 2024 project page & code / arXiv Extending Gaussian Splatting to fisheye camera model, with both forward rendering and backward propagation.
	SpecNeRF: Gaussian Directional Encoding for Specular Reflections Li Ma, Vasu Agrawal, Haithem Turki, Changil Kim, Chen Gao, Pedro V. Sander, Michael Zollhöfer, Christian Richardt CVPR, 2024 (highlight) project page / arXiv / pdf We propose a Gaussian directional encoding that leads to better modeling of specular reflections under near-field lighting conditions.
	3D Video Loops from Asynchronous Input Li Ma, Xiaoyu Li, Jing Liao, Pedro V. Sander CVPR, 2023 project page / live demo (VR demo) / Arxiv / pdf / code We construct a novel 3D looping video representation that can do novel view synthesis in real-time on an iPhone X! Apr. 2023 update: we add VR support to the live demo! (see the VR demo above)
	Neural Parameterization for Dynamic Human Head Editing Li Ma, Xiaoyu Li, Jing Liao, Xuan Wang, Qi Zhang, Jue Wang, Pedro V. Sander Siggraph Asia, 2022 project page / arXiv / pdf / code We try to introduce explicit parameters into implicit dynamic NeRF representations to achieve editing of 3D human heads.
	Deblur-NeRF: Neural Radiance Fields from Blurry Images Li Ma, Xiaoyu Li, Jing Liao, Qi Zhang, Xuan Wang, Jue Wang, Pedro V. Sander CVPR, 2022 project page / arXiv / pdf / code We optimize a NeRF and the blur kernels jointly from multi-view blurry images to get a sharp NeRF.
	TVConv: Efficient Translation Variant Convolution Jierun Chen, Tianlang He, Weipeng Zhuo, Li Ma, Sangtae Ha, S.-H. Gary Chan CVPR, 2022 arXiv / code We overparameterize a weight-generating block during training for efficient inference of dynamic convolutions.
	AutoMatch: Leveraging Traffic Camera to Improve Perception and Localization of Autonomous Vehicles Yuze He, Li Ma, Jiahe Cui, Zhenyu Yan, Guoliang Xing, Sen Wang, Qintao Hu, Chen Pan SenSys, 2022 pdf / slides We exploit existing ubiquitous traffic cameras to assist perception and localization in autonomous driving.
	VI-Eye: Semantic-based 3D Point Cloud Registration for Infrastructure-assisted Autonomous Driving Yuze He, Li Ma, Zhehao Jiang, Yi Tang, Guoliang Xing MobiCom, 2021 pdf / fast forward / presentation / slides We align two point clouds with little overlap using saliency points in the traffic scenario.

Other Projects

Some interesting projects that I worked on, including research projects.

	3D Gaussian Splatting Viewer Toy Project, 2023 code A PyOpenGL based 3D Gaussian Splatting Viewer. Dec. 2023 update: The viewer now supports CUDA backend! It's useful for debugging the official CUDA rasterizer.
	The Replate Li Ma, Ge Chen, Pedro V. Sander Funded Project, 2021 project page / code A Qt-based software that allows you to create infinitely looping videos from sports videos.
	Layered Multiplane Videos for Novel View Synthesis Li Ma, Jing Liao, Pedro V. Sander Research Project, 2021 project page / pdf / supple / code We try to generate a temporally consistent Multiplane Video (MPV) from only monocular video to achieve space and time control. The results are actually not as good as expected. But still, I post this project as a constant reminder for me to evaluate the feasibility before expending too much effort.
	Boolean Text Geometry Li Ma Course Project, 2020 live demo / code An interesting toy project based on Threejs that renders geometries that looks like different texts from different views.
	Intelligent Car Racing Kai Wang, Li Ma, Yuze He* The NXP Cup, 2018 video (group round) / video (finals) Exciting car racing!