Draganything: Motion control for anything using entity representation

W Wu, Z Li, Y Gu, R Zhao, Y He, DJ Zhang… - … on Computer Vision, 2024 - Springer
We introduce DragAnything, which utilizes a entity representation to achieve motion control
for any object in controllable video generation. Comparison to existing motion control …

Diffusion model-based video editing: A survey

W Sun, RC Tu, J Liao, D Tao - ar** in personalized visual editing
J Gu, N Zhao, W ** in Personalized Image Editing
J Gu, N Zhao, W **ong, Q Liu, Z Zhang… - … on Computer Vision, 2024 - Springer
Effective editing of personal content holds a pivotal role in enabling individuals to express
their creativity, weaving captivating narratives within their visual stories, and elevate the …

Track4Gen: Teaching Video Diffusion Models to Track Points Improves Video Generation

H Jeong, CHP Huang, JC Ye, N Mitra… - arxiv preprint arxiv …, 2024 - arxiv.org
While recent foundational video generators produce visually rich output, they still struggle
with appearance drift, where objects gradually degrade or change inconsistently across …