Difan Liu

I am a research scientist at Adobe Research, where I work on computer graphics, computer vision and machine learning.

I received my PhD from UMass Amherst advised by Evangelos Kalogerakis. Prior to UMass Amherst, I got my bachelor's degree with honors in Electrical Engineering from University of Science and Technology of China.

Internships: I'm always happy to host research interns at Adobe Research. If you are interested in working with me, please send me an email describing your past experience and current research interests.

Email  /  Google Scholar  /  Github

profile photo
Research

My research interests include generative models, vector art and 3D graphics. I am particularly interested in the synthesis and editing of images and 3D content based on machine learning.

ASSET: Autoregressive Semantic Scene Editing with Transformers at High Resolutions
Difan Liu, Sandesh Shetty, Tobias Hinz, Matthew Fisher, Richard Zhang, Taesung Park, Evangelos Kalogerakis
SIGGRAPH - Journal Track, 2022
PDF(low-res) / PDF(high-res) / Project

Neural Strokes: Stylized Line Drawing of 3D Shapes
Difan Liu, Matthew Fisher, Aaron Hertzmann, Evangelos Kalogerakis
ICCV, 2021
PDF / Project

Neural Contours: Learning to Draw Lines from 3D Shapes
Difan Liu, Mohamed Nabail, Aaron Hertzmann, Evangelos Kalogerakis
CVPR, 2020
PDF / Project

ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds
Gopal Sharma, Difan Liu, Subhransu Maji, Evangelos Kalogerakis, Siddhartha Chaudhuri, Radomír Měch
ECCV, 2020
PDF / Project

Neural Shape Parsers for Constructive Solid Geometry
Gopal Sharma, Rishabh Goyal, Difan Liu, Evangelos Kalogerakis, Subhransu Maji
TPAMI, 2020
PDF / Code

Deep Part Induction from Articulated Object Pairs
Li Yi, Haibin Huang, Difan Liu, Evangelos Kalogerakis, Hao Su, Leonidas Guibas
SIGGRAPH Asia, 2018
PDF / Code

CSGNet: Neural Shape Parser for Constructive Solid Geometry
Gopal Sharma, Rishabh Goyal, Difan Liu, Evangelos Kalogerakis, Subhransu Maji
CVPR, 2018
PDF / Code


This webpage is cool