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2020 – today
- 2024
[c12]Vikas Thamizharasan, Difan Liu, Matthew Fisher, Nanxuan Zhao, Evangelos Kalogerakis, Michal Lukác:
NIVeL: Neural Implicit Vector Layers for Text-to-Vector Generation. CVPR 2024: 4589-4597- [c11]Vikas Thamizharasan, Difan Liu, Shantanu Agarwal, Matthew Fisher, Michaël Gharbi, Oliver Wang, Alec Jacobson, Evangelos Kalogerakis:
VecFusion: Vector Font Generation with Diffusion. CVPR 2024: 7943-7952 - [c10]Zhengang Li, Yan Kang, Yuchen Liu, Difan Liu, Tobias Hinz, Feng Liu, Yanzhi Wang:
SNED: Superposition Network Architecture Search for Efficient Video Diffusion Model. CVPR 2024: 8661-8670 - [c9]Mohammad Amin Shabani, Zhaowen Wang, Difan Liu, Nanxuan Zhao, Jimei Yang, Yasutaka Furukawa:
Visual Layout Composer: Image-Vector Dual Diffusion Model for Design Layout Generation. CVPR 2024: 9222-9231 - [c8]Hongjie Wang, Difan Liu, Yan Kang, Yijun Li, Zhe Lin, Niraj K. Jha, Yuchen Liu:
Attention-Driven Training-Free Efficiency Enhancement of Diffusion Models. CVPR 2024: 16080-16089 - [c7]Mingi Kwon, Seoung Wug Oh, Yang Zhou, Difan Liu, Joon-Young Lee, Haoran Cai, Baqiao Liu, Feng Liu, Youngjung Uh:
HARIVO: Harnessing Text-to-Image Models for Video Generation. ECCV (53) 2024: 19-36 - [c6]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. ECCV (89) 2024: 332-349 - [c5]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 - [i16]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 abs/2402.14780 (2024) - [i15]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 abs/2404.12388 (2024) - [i14]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 abs/2405.05252 (2024) - [i13]Vikas Thamizharasan, Difan Liu, Matthew Fisher, Nanxuan Zhao, Evangelos Kalogerakis, Michal Lukác:
NIVeL: Neural Implicit Vector Layers for Text-to-Vector Generation. CoRR abs/2405.15217 (2024) - [i12]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 abs/2406.00195 (2024) - [i11]Mingi Kwon, Seoung Wug Oh, Yang Zhou, Difan Liu, Joon-Young Lee, Haoran Cai, Baqiao Liu, Feng Liu, Youngjung Uh:
HARIVO: Harnessing Text-to-Image Models for Video Generation. CoRR abs/2410.07763 (2024) - [i10]Desai Xie, Zhan Xu, Yicong Hong, Hao Tan, Difan Liu, Feng Liu, Arie E. Kaufman, Yang Zhou:
Progressive Autoregressive Video Diffusion Models. CoRR abs/2410.08151 (2024) - 2023
- [i9]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 abs/2311.04400 (2023) - [i8]Vikas Thamizharasan, Difan Liu, Shantanu Agarwal, Matthew Fisher, Michaël Gharbi, Oliver Wang, Alec Jacobson, Evangelos Kalogerakis:
VecFusion: Vector Font Generation with Diffusion. CoRR abs/2312.10540 (2023) - 2022
- [j3]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): 2628-2640 (2022) - [j2]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): 74:1-74:12 (2022) - [i7]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 abs/2205.12231 (2022) - 2021
- [c4]Difan Liu, Matthew Fisher, Aaron Hertzmann, Evangelos Kalogerakis:
Neural Strokes: Stylized Line Drawing of 3D Shapes. ICCV 2021: 14184-14193 - [i6]Difan Liu, Matthew Fisher, Aaron Hertzmann, Evangelos Kalogerakis:
Neural Strokes: Stylized Line Drawing of 3D Shapes. CoRR abs/2110.03900 (2021) - 2020
- [c3]Difan Liu, Mohamed Nabail, Aaron Hertzmann, Evangelos Kalogerakis:
Neural Contours: Learning to Draw Lines From 3D Shapes. CVPR 2020: 5427-5435 - [c2]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: 261-276 - [i5]Difan Liu, Mohamed Nabail, Aaron Hertzmann, Evangelos Kalogerakis:
Neural Contours: Learning to Draw Lines from 3D Shapes. CoRR abs/2003.10333 (2020) - [i4]Gopal Sharma, Difan Liu, Evangelos Kalogerakis, Subhransu Maji, Siddhartha Chaudhuri, Radomír Mech:
ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds. CoRR abs/2003.12181 (2020)
2010 – 2019
- 2019
- [i3]Gopal Sharma, Rishabh Goyal, Difan Liu, Evangelos Kalogerakis, Subhransu Maji:
Neural Shape Parsers for Constructive Solid Geometry. CoRR abs/1912.11393 (2019) - 2018
- [j1]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): 209 (2018) - [c1]Gopal Sharma, Rishabh Goyal, Difan Liu, Evangelos Kalogerakis, Subhransu Maji:
CSGNet: Neural Shape Parser for Constructive Solid Geometry. CVPR 2018: 5515-5523 - [i2]Li Yi, Haibin Huang, Difan Liu, Evangelos Kalogerakis, Hao Su, Leonidas J. Guibas:
Deep Part Induction from Articulated Object Pairs. CoRR abs/1809.07417 (2018) - 2017
- [i1]Gopal Sharma, Rishabh Goyal, Difan Liu, Evangelos Kalogerakis, Subhransu Maji:
CSGNet: Neural Shape Parser for Constructive Solid Geometry. CoRR abs/1712.08290 (2017)
Coauthor Index
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