Difan Liu
Scholar

Difan Liu

Google Scholar ID: FHtM5MUAAAAJ
Research Scientist, Adobe Research
Computer VisionComputer Graphics
Citations & Impact
All-time
Citations
1,467
 
H-index
13
 
i10-index
14
 
Publications
20
 
Co-authors
10
list available
Resume (English only)
Academic Achievements
  • VEGGIE: Instructional Editing and Reasoning of Video Concepts with Grounded Generation (ICCV 2025, equal contribution)
  • DOLLAR: Few-Step Video Generation via Distillation and Latent Reward Optimization (ICCV 2025)
  • Rethinking Layered Graphic Design Generation with a Top-Down Approach (ICCV 2025)
  • VideoGigaGAN: Towards Detail-rich Video Super-Resolution (CVPR 2025)
  • Progressive Autoregressive Video Diffusion Models (CVPR CVEU Workshop 2025)
  • Visual Persona: Foundation Model for Full-Body Human Customization (CVPR 2025)
  • Move-in-2D: 2D-Conditioned Human Motion Generation (CVPR 2025)
  • Customize-A-Video: One-Shot Motion Customization of Text-to-Video Diffusion Models (ECCV 2024)
  • HARIVO: Harnessing Text-to-Image Models for Video Generation (ECCV 2024)
  • VecFusion: Vector Font Generation with Diffusion (CVPR 2024, Highlight, equal contribution)
  • NIVeL: Neural Implicit Vector Layers for Text-to-Vector Generation (CVPR 2024)
  • Visual Layout Composer: Image-Vector Dual Diffusion Model for Design Layout Generation (CVPR 2024)
  • Attention-Driven Training-Free Efficiency Enhancement of Diffusion Models (CVPR 2024)
  • SNED: Superposition Network Architecture Search for Efficient Video Diffusion Model (CVPR 2024)
  • LRM: Large Reconstruction Model for Single Image to 3D (ICLR 2024, Oral Presentation)
  • ASSET: Autoregressive Semantic Scene Editing with Transformers at High Resolutions (CVPR)