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Track4Gen: Teaching Video Diffusion Models to Track Points Improves Video Generation
Hyeonho Jeong, Chun-Hao Paul Huang, Jong Chul Ye +2
While recent foundational video generators produce visually rich output, they still struggle with appearance drift, where objects gradually degrade or change inconsistently across…
Boosting Camera Motion Control for Video Diffusion Transformers
Soon Yau Cheong, Duygu Ceylan, Armin Mustafa +2
Recent advancements in diffusion models have significantly enhanced the quality of video generation. However, fine-grained control over camera pose remains a challenge. While U-Net…
MatAtlas: Text-driven Consistent Geometry Texturing and Material Assignment
Duygu Ceylan, Valentin Deschaintre, Thibault Groueix +5
We present MatAtlas, a method for consistent text-guided 3D model texturing. Following recent progress we leverage a large scale text-to-image generation model (e.g., Stable Diffus…