Computer graphics & computer vision

Kaiwen (Kevin) Jiang

Ph.D. Candidate at UC San Diego

Hi! I'm a Ph.D. candidate at UC San Diego, advised by Prof. Ravi Ramamoorthi. I received my bachelor's degree from Beijing Jiaotong University, and I had the pleasure of working with Prof. Lin Gao, Prof. Hongbo Fu, Prof. Yu-Kun Lai, and Shu-Yu Chen.

In the summer of 2022, I participated in the iSURE program at University of Notre Dame, working with Prof. Toby Jia-Jun Li. I also had the opportunity to intern at NVIDIA in 2024, collaborating with Shalini De Mello, Koki Nagano, Xueting Li, and Seonwook (Wookie) Park, and at Apple in 2026, working with Kai-En Lin, Afshin Taghavi Nasrabadi, and Maneli Noorkami.

Portrait of Kaiwen Jiang

Research

Publications

All publications, ordered by year.

Visual overview of Instant Expressive Gaussian Head Avatars at Over 100 FPS

2026

Instant Expressive Gaussian Head Avatars at Over 100 FPS

Kaiwen Jiang,  Xueting Li,  Seonwook Park,  Ravi Ramamoorthi,  Shalini De Mello,  Koki Nagano

IEEE European Conference on Computer Vision (ECCV), 2026.

Visual overview of Differentiable Light Transport with Gaussian Surfels via Adapted Radiosity for Efficient Relighting and Geometry Reconstruction

2025

Differentiable Light Transport with Gaussian Surfels via Adapted Radiosity for Efficient Relighting and Geometry Reconstruction

Kaiwen Jiang,  Jia-Mu Sun,  Zilu Li,  Dan Wang,  Tzu-Mao Li,  Ravi Ramamoorthi

ACM Transactions on Graphics (ACM SIGGRAPH Asia 2025), 2025.

Visual overview of MS-GS: Multi-Appearance Sparse-View 3D Gaussian Splatting in the Wild

2025

MS-GS: Multi-Appearance Sparse-View 3D Gaussian Splatting in the Wild

Deming Li,  Kaiwen Jiang,  Yutao Tang,  Ravi Ramamoorthi,  Rama Chellappa,  Cheng Peng

Neural Information Processing Systems (NeurIPS), 2025.

Visual overview of Geometry Field Splatting with Gaussian Surfels

2025

Geometry Field Splatting with Gaussian Surfels

Kaiwen Jiang,  Venkataram Sivaram,  Cheng Peng,  Ravi Ramamoorthi

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025.

Visual overview of NeRFFaceShop: Learning a Photo-realistic 3D-aware Generative Model of Animatable and Relightable Heads from Large-scale In-the-wild Videos

2025

NeRFFaceShop: Learning a Photo-realistic 3D-aware Generative Model of Animatable and Relightable Heads from Large-scale In-the-wild Videos

Kaiwen Jiang,  Feng-Lin Liu,  Shu-Yu Chen,  Pengfei Wan,  Yuan Zhang,  Yu-Kun Lai,  Hongbo Fu,  Lin Gao

IEEE Transactions on Visualization and Computer Graphics (TVCG), 2025.

Visual overview of A Construct-Optimize Approach to Sparse View Synthesis without Camera Pose

2024

A Construct-Optimize Approach to Sparse View Synthesis without Camera Pose

Kaiwen Jiang,  Yang Fu,  Mukund Varma T,  Yash Belhe,  Xiaolong Wang,  Hao Su,  Ravi Ramamoorthi

ACM SIGGRAPH, 2024.

Visual overview of Real-time 3D-aware Portrait Video Relighting

2024

Real-time 3D-aware Portrait Video Relighting

Ziqi Cai,  Kaiwen Jiang,  Shu-Yu Chen,  Yu-Kun Lai,  Hongbo Fu,  Boxin Shi,  Lin Gao

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024 Highlight.

Visual overview of SPICA: Interactive Video Content Exploration through Augmented Audio Descriptions for Blind or Low-Vision Viewers

2024

SPICA: Interactive Video Content Exploration through Augmented Audio Descriptions for Blind or Low-Vision Viewers

Zheng Ning,  Brianna L. Wimer,  Kaiwen Jiang,  Keyi Chen,  Jerrick Ban,  Yapeng Tian,  Yuhang Zhao,  Toby Jia-Jun Li

ACM Conference on Human Factors in Computing Systems (CHI), 2024.

Visual overview of MIMOSA: Human-AI Co-Creation of Computational Spatial Audio Effects on Videos

2024

MIMOSA: Human-AI Co-Creation of Computational Spatial Audio Effects on Videos

Zheng Ning,  Zheng Zhang,  Jerrick Ban,  Kaiwen Jiang,  Ruohong Gan,  Yapeng Tian,  Toby Jia-Jun Li

ACM Conference on Creativity and Cognition (C&C), 2024.

Visual overview of NeRFFaceLighting: Implicit and Disentangled Face Lighting Representation Leveraging Generative Prior in Neural Radiance Fields

2023

NeRFFaceLighting: Implicit and Disentangled Face Lighting Representation Leveraging Generative Prior in Neural Radiance Fields

Kaiwen Jiang,  Shu-Yu Chen,  Hongbo Fu,  Lin Gao

ACM Transactions on Graphics, 2023.

Visual overview of SketchFaceNeRF: Sketch-based Facial Generation and Editing in Neural Radiance Fields

2023

SketchFaceNeRF: Sketch-based Facial Generation and Editing in Neural Radiance Fields

Lin Gao,  Feng-Lin Liu,  Shu-Yu Chen,  Kaiwen Jiang,  Chunpeng Li,  Yu-Kun Lai,  Hongbo Fu

ACM Transactions on Graphics (ACM SIGGRAPH 2023), 2023.

Visual overview of NeRFFaceEditing: Disentangled Face Editing in Neural Radiance Fields

2022

NeRFFaceEditing: Disentangled Face Editing in Neural Radiance Fields

Kaiwen Jiang,  Shu-Yu Chen,  Feng-Lin Liu,  Hongbo Fu,  Lin Gao

ACM SIGGRAPH Asia, 2022, also in IEEE TPAMI 2025.

A little more

About Me

My research lies at the intersection of computer graphics and computer vision, with a focus on learning 3D representations from images and videos. I develop methods for reconstructing, rendering, and editing 3D scenes and digital humans, with particular interests in neural rendering, inverse rendering, and relightable, animatable avatars. My goal is to make realistic 3D content creation more efficient, accessible, and controllable.

My first name in Chinese is pronounced very similar to Kevin in English, which is, therefore, my English name. In spare time, I am a huge fan of Cyber Literature (over ten years of experience), and I occasionally play Screeps for fun (you can find my AI here!).