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2026-02-07 01:14:49
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AnimateDiff AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning (ICLR'24 spotlight) Yuwei Guo 1 Ceyuan Yang 2✝ Anyi Rao 3 Zhengyang Liang 2 Yaohui Wang 2 Yu Qiao 2 Maneesh Agrawala 3 Dahua Lin 1,2 Bo Dai 2 ✝ Corresponding Author. 1 The Chinese University of Hong Kong 2 Shanghai AI Laboratory 3 Stanford University [Paper] [Github] [BibTeX] Click to Play the Animations! Generated with CivitAI models: ToonYou Lyriel majicMIX Realistic RCNZ Cartoon 3d Methodology With the advance of text-to-image models (e.g., Stable Diffusion) and corresponding personalization techniques (e.g., LoRA and DreamBooth), it is possible for everyone to manifest their imagination into high-quality images with an affordable cost. Subsequently, there is a great demand for image animation techniques to further combine generated stationary images with motion dynamics. In this project, we propose a...
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