Guilin Liu
Research Scientist at NVIDIA
Santa Clara, CA

Email: firstname+l at company.com
Google Scholar   GitHub
LinkedIn   Twitter  
I am a Senior (Staff level) Research Scientist in at NVIDIA since 2017. My projects at NVIDIA include DLSS (used by millions of gamers), partial conv based inpainting (with over 1.7 million views on YouTube, featured in tons of media outles and showed as live demo with NVIDIA CEO in GTC keynote), text-to-video used in Picasso, large-scale multi-modal models etc. Currently my research interests mainly lie in generative models (diffusion models), large-scale multi-modal models and low-level computer vision.

I am alway looking for research intern to work on the research topics in multimodal and generative models. Please send me an email with your CV if you are interested.


Publications (Please refer to Google Scholar for the latest ones):

   DiffiT: Diffusion Vision Transformers for Image Generation
Ali Hatamizadeh, Jiaming Song, Guilin Liu, Jan Kautz, Arash Vahdat
arxiv
Paper .
   PYOCO: Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models
Songwei Ge, Seungjun Nah, Guilin Liu, Tyler Poon, Andrew Tao, Bryan Catanzaro, David Jacobs, Jia-Bin Huang, Ming-Yu Liu, Yogesh Balaji
ICCV 2023
Paper   Project Page.
   Partial Convolution for Padding, Inpainting, and Image Synthesis
Guilin Liu*, Aysegul Dundar*, Kevin J. Shih, Ting-Chun Wang, Fitsum A. Reda, Karan Sapra, Zhiding Yu, Xiaodong Yang, Andrew Tao, Bryan Catanzaro (*equal contribution)
T-PAMI 2022
Paper  
   Coupled Segmentation and Edge Learning via Dynamic Graph Propagation
Zhiding Yu, Rui Huang, Wonmin Byeon, Sifei Liu, Guilin Liu, Thomas Breuel, Anima Anandkumar, Jan Kautz
NeurIPS 2021
Paper  
   Dual Contrastive Loss and Attention for GANs
Ning Yu, Guilin Liu, Aysegul Dundar, Andrew Tao, Bryan Catanzaro, Larry Davis, and Mario Fritz
ICCV 2021
Paper  
   Discobox: Weakly supervised instance segmentation and semantic correspondence from box supervision
Shiyi Lan, Zhiding Yu, Christopher Choy, Subhashree Radhakrishnan, Guilin Liu, Yuke Zhu, Larry S Davis, Anima Anandkumar
ICCV 2021
Paper Code  
   View Generalization for Single Image Textured 3D Models
Anand Bhattad, Aysegul Dundar, Guilin Liu, Andrew Tao, Bryan Catanzaro
CVPR 2021
Paper Web-page  
   Neural FFTs for Universal Texture Image Synthesis
Morteza Mardani*, Guilin Liu*, Aysegul Dundar, Shiqiu Liu, Andrew Tao, Bryan Catanzaro (*equal contribution)
NeurIPS 2020
Paper
   Transposer: Universal Texture Synthesis Using Feature Maps as Transposed Convolution Filter
Guilin Liu, Rohan Taori, Ting-Chun Wang, Zhiding Yu, Shiqiu Liu, Fitsum A. Reda, Karan Sapra, Andrew Tao, Bryan Catanzaro
arxiv preprint
Paper   1 min video   6 min video
   Panoptic-based Image Synthesis
Aysegul Dundar, Karan Sapra, Guilin Liu, Andrew Tao, Bryan Catanzaro
CVPR 2020
Paper
   Partial Convolution based Padding
Guilin Liu, Kevin J. Shih, Ting-Chun Wang, Fitsum A. Reda, Karan Sapra, Zhiding Yu, Xiaodong Yang, Andrew Tao, Bryan Catanzaro
arXiv preprint
Paper   Code
   Few-Shot Video-to-Video Synthesis
Ting-Chun Wang, Ming-Yu Liu, Andrew Tao, Guilin Liu, Jan Kautz, Bryan Catanzaro
NeurIPS 2019
Project   Paper   Github   Youtube
   Unsupervised Video Interpolation Using Cycle Consistency
Fitsum A Reda, Deqing Sun, Aysegul Dundar, Mohammad Shoeybi, Guilin Liu, Kevin J Shih, Andrew Tao, Jan Kautz, Bryan Catanzaro
ICCV 2019
Paper  
   Neural Inverse Rendering of an Indoor Scene from a Single Image
Soumyadip Sengupta, Jinwei Gu, Kihwan Kim, Guilin Liu, David Jacobs, Jan Kautz
ICCV 2019
Paper
   Image Inpainting for Irregular Holes Using Partial Convolutions
Guilin Liu, Fitsum A. Reda, Kevin J. Shih, Ting-Chun Wang, Andrew Tao, Bryan Catanzaro
ECCV 2018
Paper   Project   Video   Fortune   Forbes   GTC Keynote Live Demo with NVIDIA CEO Jensen Huang
   Video-to-Video Synthesis
Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Guilin Liu, Andrew Tao, Jan Kautz, Bryan Catanzaro
NeurIPS 2018
Paper   Project   Video   Arxiv   Code
   SDC-Net: Video prediction using spatially-displaced convolution
Fitsum A. Reda, Guilin Liu, Kevin J. Shih, Robert Kirby, Jon Barker, David Tarjan, Andrew Tao, Bryan Catanzaro
ECCV 2018
Paper  
   Material Editing Using a Physically Based Rendering Network
Guilin Liu, Duygu Ceylan, Ersin Yumer, Jimei Yang, Jyh-Ming Lien
ICCV 2017
Paper   Project   Data
   Symmetry-aware Depth Estimation using Deep Neural Networks
Guilin Liu, Chao Yang, Zimo Li, Duygu Ceylan, Qixing Huang
arxiv 2016
Arxiv  
   Nearly Convex Segmentation of Polyhedra Through Convex Ridge Separation
Guilin Liu, Zhonghua Xi, Jyh-Ming Lien
SPM 2016, also in Journal of Computer-Aided Design
Paper   Project   Video
   Continuous Visibility Feature
Guilin Liu, Zhonghua Xi, Jyh-Ming Lien
CVPR 2015
Paper   Project   Code
   Fast Medial Axis Approximation via Max-Margin Pushing
Guilin Liu, Jyh-Ming Lien
IROS 2015
Paper   Project   Video
   Dual-Space Decomposition of 2D Complex Shapes
Guilin Liu, Zhonghua Xi, Jyh-Ming Lien
CVPR 2014
Paper   Project   Code

Collaboration Interns

2022 Tyler Poon. University of Chicago
2022 Songwei Ge. University of Maryland
2020 Anand Bhattad. University of Illinois Urbana Champaign. Now Research Assistant Professor at Toyota Technological Institute at Chicago.
2020 Ning Yu. University of Maryland. Now Research Scientist at Salesforce Research.
2020 Shiyi Lan. University of Maryland. Now Research Scientist at NVIDIA.
2019 Rohan Taori. UC Berkeley. Now PhD student at Stanford University.
2018 Soumyadip Sengupta. University of Maryland. Now Assistant Professor at University of North Carolina at Chapel Hill.

Co-organized Workshop & Tutorial

ICCV 2019 Tutorial on Accelerating Computer Vision with Mixed Precision

Media Coverage:

Fortune, Forbes, Fast Company, Engadget, SlashGear, Digital Trends, TNW, eTeknix, Game Debate, Alphr, Gizbot, Fossbytes, Techradar, Beeborn, Bit-tech, Hexus, HotHardWare, BleepingComputer, hardocp, boingboing, PetaPixel, 搜狐, 新浪, 量子位(知乎)