Difan Liu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 22

Top Topics

Material Properties

Diffusion Model

Surface Matching

Geometrical Constraints

Top Venues

ACM Trans. Graph.

Publications

Hongjie Wang, Difan Liu, Yan Kang, Yijun Li, Zhe Lin, Niraj K. Jha, Yuchen Liu
Attention-Driven Training-Free Efficiency Enhancement of Diffusion Models. CoRR (2024)
Yicong Hong, Kai Zhang, Jiuxiang Gu, Sai Bi, Yang Zhou, Difan Liu, Feng Liu, Kalyan Sunkavalli, Trung Bui, Hao Tan
LRM: Large Reconstruction Model for Single Image to 3D. ICLR (2024)
Vikas Thamizharasan, Difan Liu, Matthew Fisher, Nanxuan Zhao, Evangelos Kalogerakis, Michal Lukác
NIVeL: Neural Implicit Vector Layers for Text-to-Vector Generation. CoRR (2024)
Zhengang Li, Yan Kang, Yuchen Liu, Difan Liu, Tobias Hinz, Feng Liu, Yanzhi Wang
SNED: Superposition Network Architecture Search for Efficient Video Diffusion Model. CoRR (2024)
Yiran Xu, Taesung Park, Richard Zhang, Yang Zhou, Eli Shechtman, Feng Liu, Jia-Bin Huang, Difan Liu
VideoGigaGAN: Towards Detail-rich Video Super-Resolution. CoRR (2024)
Yixuan Ren, Yang Zhou, Jimei Yang, Jing Shi, Difan Liu, Feng Liu, Mingi Kwon, Abhinav Shrivastava
Customize-A-Video: One-Shot Motion Customization of Text-to-Video Diffusion Models. CoRR (2024)
Yicong Hong, Kai Zhang, Jiuxiang Gu, Sai Bi, Yang Zhou, Difan Liu, Feng Liu, Kalyan Sunkavalli, Trung Bui, Hao Tan
LRM: Large Reconstruction Model for Single Image to 3D. CoRR (2023)
Vikas Thamizharasan, Difan Liu, Shantanu Agarwal, Matthew Fisher, Michaël Gharbi, Oliver Wang, Alec Jacobson, Evangelos Kalogerakis
VecFusion: Vector Font Generation with Diffusion. CoRR (2023)
Difan Liu, Sandesh Shetty, Tobias Hinz, Matthew Fisher, Richard Zhang, Taesung Park, Evangelos Kalogerakis
ASSET: autoregressive semantic scene editing with transformers at high resolutions. ACM Trans. Graph. 41 (4) (2022)
Gopal Sharma, Rishabh Goyal, Difan Liu, Evangelos Kalogerakis, Subhransu Maji
Neural Shape Parsers for Constructive Solid Geometry. IEEE Trans. Pattern Anal. Mach. Intell. 44 (5) (2022)
Difan Liu, Sandesh Shetty, Tobias Hinz, Matthew Fisher, Richard Zhang, Taesung Park, Evangelos Kalogerakis
ASSET: Autoregressive Semantic Scene Editing with Transformers at High Resolutions. CoRR (2022)
Difan Liu, Matthew Fisher, Aaron Hertzmann, Evangelos Kalogerakis
Neural Strokes: Stylized Line Drawing of 3D Shapes. ICCV (2021)
Difan Liu, Matthew Fisher, Aaron Hertzmann, Evangelos Kalogerakis
Neural Strokes: Stylized Line Drawing of 3D Shapes. CoRR (2021)
Gopal Sharma, Difan Liu, Evangelos Kalogerakis, Subhransu Maji, Siddhartha Chaudhuri, Radomír Mech
ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds. CoRR (2020)
Difan Liu, Mohamed Nabail, Aaron Hertzmann, Evangelos Kalogerakis
Neural Contours: Learning to Draw Lines From 3D Shapes. CVPR (2020)
Gopal Sharma, Difan Liu, Subhransu Maji, Evangelos Kalogerakis, Siddhartha Chaudhuri, Radomír Mech
ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds. ECCV (7) (2020)
Difan Liu, Mohamed Nabail, Aaron Hertzmann, Evangelos Kalogerakis
Neural Contours: Learning to Draw Lines from 3D Shapes. CoRR (2020)
Gopal Sharma, Rishabh Goyal, Difan Liu, Evangelos Kalogerakis, Subhransu Maji
Neural Shape Parsers for Constructive Solid Geometry. CoRR (2019)
Gopal Sharma, Rishabh Goyal, Difan Liu, Evangelos Kalogerakis, Subhransu Maji
CSGNet: Neural Shape Parser for Constructive Solid Geometry. CVPR (2018)
Li Yi, Haibin Huang, Difan Liu, Evangelos Kalogerakis, Hao Su, Leonidas J. Guibas
Deep part induction from articulated object pairs. ACM Trans. Graph. 37 (6) (2018)
Li Yi, Haibin Huang, Difan Liu, Evangelos Kalogerakis, Hao Su, Leonidas J. Guibas
Deep Part Induction from Articulated Object Pairs. CoRR (2018)
Gopal Sharma, Rishabh Goyal, Difan Liu, Evangelos Kalogerakis, Subhransu Maji
CSGNet: Neural Shape Parser for Constructive Solid Geometry. CoRR (2017)