CVPR Findings2026
Seen-to-Scene: Keep the Seen, Generate the Unseen for Video Outpainting
Inseok Jeon, Minhyeok Lee, Seunghoon Lee, Minseok Kang, Suhwan Cho, Sangyoun Lee
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它引用的 Paper11
- Denoising Diffusion Probabilistic ModelsJonathan Ho, Ajay Jain, Pieter AbbeelNeurIPS 2020 · 35,902 次引用
- High-Resolution Image Synthesis with Latent Diffusion ModelsRobin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser 等CVPR 2022 · 13,123 次引用
- ProPainter: Improving Propagation and Transformer for Video InpaintingShangchen Zhou, Chongyi Li, Kelvin C. K. Chan, Chen Change LoyICCV 2023 · 205 次引用
- Towards An End-to-End Framework for Flow-Guided Video InpaintingZhen Li, Chengze Lu, Jianhua Qin, Chun-Le Guo 等CVPR 2022 · 136 次引用
- Inertia-Guided Flow Completion and Style Fusion for Video InpaintingKaidong Zhang, Jingjing Fu, Dong LiuCVPR 2022 · 42 次引用
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- Hierarchical Masked 3D Diffusion Model for Video OutpaintingFanda Fan, Chaoxu Guo, Litong Gong, Biao Wang 等ACM MM 2023 · 12 次引用
- VideoHandles: Editing 3D Object Compositions in Videos Using Video Generative PriorsJuil Koo, Paul Guerrero, Chun-Hao Paul Huang, Duygu Ceylan 等CVPR 2025
