Edit-Your-Motion: Space-Time Diffusion Decoupling Learning for Video
Motion Editing

Edit-Your-Motion: Space-Time Diffusion Decoupling Learning for Video Motion Editing

7 May 2024

Lingling Li

Fang Liu

Shuyuan Yang

Papers citing "Edit-Your-Motion: Space-Time Diffusion Decoupling Learning for Video Motion Editing"

5 / 5 papers shown

Title
Reenact Anything: Semantic Video Motion Transfer Using Motion-Textual Inversion Monika Zimmermann Jacek Naruniec Christopher Schroers Markus Gross Romann M. Weber VGen DiffM 40 3 0 01 Aug 2024
VMC: Video Motion Customization using Temporal Attention Adaption for Text-to-Video Diffusion Models Hyeonho Jeong Geon Yeong Park Jong Chul Ye VGen DiffM 106 53 0 01 Dec 2023
LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On Davide Morelli Alberto Baldrati Giuseppe Cartella Marcella Cornia Marco Bertini Rita Cucchiara DiffM 55 99 0 22 May 2023
Diffusion Models in Vision: A Survey Florinel-Alin Croitoru Vlad Hondru Radu Tudor Ionescu M. Shah DiffM VLM MedIm 188 1,098 0 10 Sep 2022
Layered Neural Atlases for Consistent Video Editing Yoni Kasten Dolev Ofri-Amar Oliver Wang Tali Dekel VGen 187 159 0 23 Sep 2021