Feng Liu

Principal Research Scientist

San Jose

Feng Liu is a principal research scientist at Adobe Research, working remotely in Oregon. His research areas include Computer Vision, Computer Graphics, Multimedia and Machine Learning. His research studies how people interact with visual media and accordingly develops technologies to support high-quality visual content production. His recent projects include video effects, 3D vision / graphics, novel view synthesis, neural rendering, neural modeling, AR/VR and generative models.  

Feng obtained his PhD from the University of Wisconsin-Madison in 2010. He is concurrently a faculty member at Portland State University and runs Computer Graphics and Vision Lab there. He was a visiting researcher at Meta Reality Labs and Google Research previously. For more information, please visit his personal webpage. 

Publications

REGEN: Learning Compact Video Embedding with (Re-)Generative Decoder

Zhang, Yitian., Mai, Long., Mahapatra, Aniruddha., Bourgin, David., Hong, Yicong., Casebeer, Jonah., Liu, Feng., Fu, Yun. (Oct. 19, 2025)

ICCV 2025

Visual Persona: Foundation Model for Full-Body Human Customization

Nam, Jisu., Son, Soowon., Xu, Zhan., Shi, Jing., Liu, Difan., Liu, Feng., Misraa, Aashish., Kim, Seungryong., Zhou, Yang. (Jun. 13, 2025)

Conference on Computer Vision and Pattern Recognition (CVPR 2025)

Progressive Autoregressive Video Diffusion Models

Xie, Desai., Xu, Zhan., Hong, Yicong., Tan, Hao., Liu, Difan., Liu, Feng., Kaufman, Arie., Zhou, Yang. (Jun. 13, 2025)

Conference on Computer Vision and Pattern Recognition (CVPR 2025) - CVEU workshop

VideoGigaGAN: Towards Detail-rich Video Super-Resolution

Xu, Yiran., Park, Taesung., Zhang, Richard., Zhou, Yang., Shechtman, Eli., Liu, Feng., Huang, Jia-Bin., Liu, Difan. (Jun. 13, 2025)

Conference on Computer Vision and Pattern Recognition (CVPR 2025)

Progressive autoregressive video diffusion models

Xie, Desai., Xu, Zhan., Hong, Yicong., Tan, Hao., Liu, Difan., Liu, Feng., Kaufman, Arie., Zhou, Yang. (Jun. 11, 2025)

CVPR 2025 - CVEU workshop

SNED: Superposition Network Architecture Search for Efficient Video Diffusion Model

Li, Zhengang., Kang, Yan., Liu, Yuchen., Liu, Difan., Hinz, Tobias., Liu, Feng., Wang, Yanzhi. (Jun. 19, 2024)

CVPR 2024

LRM: Large Reconstruction Model for Single Image to 3D

Hong, Yicong., Zhang, Kai., Gu, Jiuxiang., Bi, Sai., Zhou, Yang., Liu, Difan., Liu, Feng., Sunkavalli, Kalyan., Bui, Trung., Tan, Hao. (May. 7, 2024)

ICLR 2024