AnyI2V: Animating Any Conditional Image with Motion Control
Ziye Li, Hao Luo, Xincheng Shuai, Henghui Ding
2025Year
2Citations
4Top-tier citations
Abstract
Recent advancements in video generation, particularly in diffusion models, have driven notable progress in text-tovideo (T2V) and image-to-video (I2V) synthesis. However, challenges remain in effectively integrating dynamic motion signals and flexible spatial constraints. Existing T2V methods typically rely on text prompts, which inherently lack precise control over the spatial layout of generated content.
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Cited by top-tier papers4
- SceneDesigner: Controllable Multi-Object Image Generation with 9-DoF Pose ManipulationZhenyuan Qin, Xincheng Shuai, Henghui DingNeurIPS 2025 · 11 citations
- GlyphPrinter: Region-Grouped Direct Preference Optimization for Glyph-Accurate Visual Text RenderingXincheng Shuai, Ziye Li, Henghui Ding, Dacheng TaoCVPR 2026 · 4 citations
- PSDesigner: Automated Graphic Design with a Human-Like Creative WorkflowXincheng Shuai, Song Tang, Yutong Huang, Henghui Ding et al.CVPR 2026 · 1 citation
- OcclusionFormer: Arranging Z-Order for Layout-Grounded Image GenerationZiye Li, Henghui DingICML 2026
Builds on31
- LoRA: Low-Rank Adaptation of Large Language ModelsEdward J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu et al.ICLR 2022 · 18,833 citations
- High-Resolution Image Synthesis with Latent Diffusion ModelsRobin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser et al.CVPR 2022 · 13,123 citations
- Directly Denoising Diffusion ModelsDan Zhang, Jingjing Wang, Feng LuoICML 2024 · 11,724 citations
- Adding Conditional Control to Text-to-Image Diffusion ModelsLvmin Zhang, Anyi Rao, Maneesh AgrawalaICCV 2023 · 6,759 citations
- Video Diffusion ModelsJonathan Ho, Tim Salimans, Alexey A. Gritsenko, William Chan et al.NeurIPS 2022 · 2,948 citations
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