tryoffdiff and try-off-anyone

These are competitors: both reconstruct and generate garment imagery from dressed persons, but TryOffDiff uses diffusion-based high-fidelity reconstruction while TryOffAnyone uses tiled cloth generation, offering different technical approaches to the same virtual try-off task.

tryoffdiff
44
Emerging
try-off-anyone
27
Experimental
Maintenance 6/25
Adoption 10/25
Maturity 9/25
Community 19/25
Maintenance 0/25
Adoption 10/25
Maturity 1/25
Community 16/25
Stars: 139
Forks: 25
Downloads:
Commits (30d): 0
Language: Python
License:
Stars: 203
Forks: 24
Downloads:
Commits (30d): 0
Language: Python
License:
No Package No Dependents
No License Stale 6m No Package No Dependents

About tryoffdiff

rizavelioglu/tryoffdiff

[CVPR'25-Demo] Official repository of "TryOffDiff: Virtual-Try-Off via High-Fidelity Garment Reconstruction using Diffusion Models".

Leverages Stable Diffusion v1.4 with SigLIP image encoding and multi-GPU training via HuggingFace Accelerate to reconstruct garments at high fidelity, supporting both single and multi-garment virtual try-off scenarios. The codebase provides modular training, inference, and evaluation pipelines compatible with VITON-HD and Dress Code datasets, with metrics from IQA-PyTorch, clean-fid, and DISTS for benchmarking reconstruction quality.

About try-off-anyone

ixarchakos/try-off-anyone

Official repository of "TryOffAnyone: Tiled Cloth Generation from a Dressed Person"

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