Training-Free Consistency Pipeline for Fashion Repose
Journal:
arXiv
Published Date:
Jan 23, 2025
Abstract
Recent advancements in diffusion models have significantly broadened the
possibilities for editing images of real-world objects. However, performing
non-rigid transformations, such as changing the pose of objects or image-based
conditioning, remains challenging. Maintaining object identity during these
edits is difficult, and current methods often fall short of the precision
needed for industrial applications, where consistency is critical.
Additionally, fine-tuning diffusion models requires custom training data, which
is not always accessible in real-world scenarios. This work introduces
FashionRepose, a training-free pipeline for non-rigid pose editing specifically
designed for the fashion industry. The approach integrates off-the-shelf models
to adjust poses of long-sleeve garments, maintaining identity and branding
attributes. FashionRepose uses a zero-shot approach to perform these edits in
near real-time, eliminating the need for specialized training. consistent image
editing. The solution holds potential for applications in the fashion industry
and other fields demanding identity preservation in image editing.
