Difan Liu

According to our database, Difan Liu authored at least 26 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Rethinking Layered Graphic Design Generation with a Top-Down Approach.

Jingye Chen, Zhaowen Wang, Nanxuan Zhao, Li Zhang, Difan Liu, Jimei Yang, Qifeng Chen

CoRR, July, 2025

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation.

Yuan Yao, Yicong Hong, Difan Liu, Long Mai, Feng Liu, Jiebo Luo

CoRR, June, 2025

Visual Persona: Foundation Model for Full-Body Human Customization.

Jisu Nam, Soowon Son, Zhan Xu, Jing Shi, Difan Liu, Feng Liu, Aashish Misraa, Seungryong Kim, Yang Zhou

CoRR, March, 2025

VEGGIE: Instructional Editing and Reasoning of Video Concepts with Grounded Generation.

Shoubin Yu, Difan Liu, Ziqiao Ma, Yicong Hong, Yang Zhou, Hao Tan, Joyce Chai, Mohit Bansal

CoRR, March, 2025

Mean-Shift Distillation for Diffusion Mode Seeking.

Vikas Thamizharasan, Nikitas Chatzis, Iliyan Georgiev, Matthew Fisher, Difan Liu, Nanxuan Zhao, Evangelos Kalogerakis, Michal Lukác

CoRR, February, 2025

How to Train Your Dragon: Automatic Diffusion-Based Rigging for Characters with Diverse Topologies.

Zeqi Gu, Difan Liu, Timothy Langlois, Matthew Fisher, Abe Davis

Comput. Graph. Forum, 2025

VideoGigaGAN: Towards Detail-rich Video Super-Resolution.

Yiran Xu, Taesung Park, Richard Zhang, Yang Zhou, Eli Shechtman, Feng Liu, Jia-Bin Huang, Difan Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Progressive Autoregressive Video Diffusion Models.

Desai Xie, Zhan Xu, Yicong Hong, Hao Tan, Difan Liu, Feng Liu, Arie E. Kaufman, Yang Zhou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

Visual Persona: Foundation Model for Full-Body Human Customization.

Jisu Nam, Soowon Son, Zhan Xu, Jing Shi, Difan Liu, Feng Liu, Seungryong Kim, Yang Zhou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Move-in-2D: 2D-Conditioned Human Motion Generation.

Hsin-Ping Huang, Yang Zhou, Jui-Hsien Wang, Difan Liu, Feng Liu, Ming-Hsuan Yang, Zhan Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

DOLLAR: Few-Step Video Generation via Distillation and Latent Reward Optimization.

Zihan Ding, Chi Jin, Difan Liu, Haitian Zheng, Krishna Kumar Singh, Qiang Zhang, Yan Kang, Zhe Lin, Yuchen Liu

CoRR, 2024

LRM: Large Reconstruction Model for Single Image to 3D.

Yicong Hong, Kai Zhang, Jiuxiang Gu, Sai Bi, Yang Zhou, Difan Liu, Feng Liu, Kalyan Sunkavalli, Trung Bui, Hao Tan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Customize-A-Video: One-Shot Motion Customization of Text-to-Video Diffusion Models.

Yixuan Ren, Yang Zhou, Jimei Yang, Jing Shi, Difan Liu, Feng Liu, Mingi Kwon, Abhinav Shrivastava

Proceedings of the Computer Vision - ECCV 2024, 2024

HARIVO: Harnessing Text-to-Image Models for Video Generation.

Mingi Kwon, Seoung Wug Oh, Yang Zhou, Difan Liu, Joon-Young Lee, Haoran Cai, Baqiao Liu, Feng Liu, Youngjung Uh

Proceedings of the Computer Vision - ECCV 2024, 2024

Attention-Driven Training-Free Efficiency Enhancement of Diffusion Models.

Hongjie Wang, Difan Liu, Yan Kang, Yijun Li, Zhe Lin, Niraj K. Jha, Yuchen Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

NIVeL: Neural Implicit Vector Layers for Text-to-Vector Generation.

Vikas Thamizharasan, Difan Liu, Matthew Fisher, Nanxuan Zhao, Evangelos Kalogerakis, Michal Lukác

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

VecFusion: Vector Font Generation with Diffusion.

Vikas Thamizharasan, Difan Liu, Shantanu Agarwal, Matthew Fisher, Michaël Gharbi, Oliver Wang, Alec Jacobson, Evangelos Kalogerakis

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Visual Layout Composer: Image-Vector Dual Diffusion Model for Design Layout Generation.

Mohammad Amin Shabani, Zhaowen Wang, Difan Liu, Nanxuan Zhao, Jimei Yang, Yasutaka Furukawa

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

SNED: Superposition Network Architecture Search for Efficient Video Diffusion Model.

Zhengang Li, Yan Kang, Yuchen Liu, Difan Liu, Tobias Hinz, Feng Liu, Yanzhi Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2022

ASSET: autoregressive semantic scene editing with transformers at high resolutions.

Difan Liu, Sandesh Shetty, Tobias Hinz, Matthew Fisher, Richard Zhang, Taesung Park, Evangelos Kalogerakis

ACM Trans. Graph., 2022

Neural Shape Parsers for Constructive Solid Geometry.

Gopal Sharma, Rishabh Goyal, Difan Liu, Evangelos Kalogerakis, Subhransu Maji

IEEE Trans. Pattern Anal. Mach. Intell., 2022

2021

Neural Strokes: Stylized Line Drawing of 3D Shapes.

Difan Liu, Matthew Fisher, Aaron Hertzmann, Evangelos Kalogerakis

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds.

Gopal Sharma, Difan Liu, Subhransu Maji, Evangelos Kalogerakis, Siddhartha Chaudhuri, Radomír Mech

Proceedings of the Computer Vision - ECCV 2020, 2020

Neural Contours: Learning to Draw Lines From 3D Shapes.

Difan Liu, Mohamed Nabail, Aaron Hertzmann, Evangelos Kalogerakis

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018

Deep part induction from articulated object pairs.

Li Yi, Haibin Huang, Difan Liu, Evangelos Kalogerakis, Hao Su, Leonidas J. Guibas

ACM Trans. Graph., 2018

CSGNet: Neural Shape Parser for Constructive Solid Geometry.

Gopal Sharma, Rishabh Goyal, Difan Liu, Evangelos Kalogerakis, Subhransu Maji

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018