How CCVTON Achieves SOTA Virtual Try-On Without Large-Scale Paired Data

CCVTON introduces a cycle‑consistent diffusion framework that trains on massive unpaired single‑model images, uses a two‑stage garment‑aware mask generation and multi‑criterion filtering to overcome paired‑data scarcity, and reaches state‑of‑the‑art results on VITON‑HD and DressCode.

CCVTONComputer VisionCycle-Consistency

0 likes · 11 min read

How CCVTON Achieves SOTA Virtual Try-On Without Large-Scale Paired Data