SketchVideo: Sketch-based Video Generation and Editing
Feng-Lin Liu, Hongbo Fu, Xintao Wang, Weicai Ye, Pengfei Wan, Di Zhang, Lin Gao
Abstract
Figure 1. Our method enables high-quality video generation (a) and editing (b) based on sketch and text inputs. (a) Top: With the same text prompt, different keyframe sketches lead to results with similar semantics but diverse sketch-faithful geometry. (a) Bottom: With the same sketches, varied text prompts yield diverse appearances. (b) Users can also edit real videos by drawing on keyframe sketches, with edits automatically propagated even when edited objects in original videos have translation and rotation.
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Install the CLIlune papers fulltext af65b07c-6317-461c-83a4-ab4e5896a2feCited by top-tier papers5
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- O3SLM: Open Weight, Open Data, and Open Vocabulary Sketch-Language ModelRishi Gupta, Mukilan Karuppasamy, Shyam Marjit, Aditay Tripathi et al.AAAI 2026
Builds on41
- Learning Transferable Visual Models From Natural Language SupervisionAlec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh et al.ICML 2021 · 47,906 citations
- High-Resolution Image Synthesis with Latent Diffusion ModelsRobin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser et al.CVPR 2022 · 13,123 citations
- Denoising Diffusion Implicit ModelsJiaming Song, Chenlin Meng, Stefano ErmonICLR 2021 · 11,743 citations
- Photorealistic Text-to-Image Diffusion Models with Deep Language UnderstandingChitwan Saharia, William Chan, Saurabh Saxena, Lala Li et al.NeurIPS 2022 · 8,965 citations
- Adding Conditional Control to Text-to-Image Diffusion ModelsLvmin Zhang, Anyi Rao, Maneesh AgrawalaICCV 2023 · 6,759 citations
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