GS-VTON is a 3D virtual fitting technology that utilizes Gaussian scattering (3DGS) as a 3D representation, enabling knowledge transfer from 2D virtual fitting models to 3D space while enhancing cross-view consistency. This technology integrates personalized information into pre-trained 2D virtual fitting models through low-rank adaptation (LoRA). Additionally, it introduces a character-aware 3DGS editing framework to maintain consistent cross-view appearances and high-quality 3D geometric structures during the editing process. GS-VTON demonstrates its high fidelity and advanced editing capabilities in 3D virtual fittings through extensive experiments and comparative analyses with existing methods, proving its effectiveness in this domain.

Kolors Virtual Try On is a platform that utilizes advanced AI technology to provide online virtual fitting services. It helps users visualize clothing products in real environments through virtual modeling, reducing the costs associated with returns due to size discrepancies or style dissatisfaction. Users can try on clothes anywhere, anytime, enabling them to make more informed shopping choices. The platform is compatible with multiple devices, offers personalized recommendations, and ensures user data security with its privacy policy, which guarantees that all uploaded photos are securely deleted after processing.

GS-VTON is a 3D virtual fitting technology that utilizes Gaussian scattering (3DGS) as a 3D representation, enabling knowledge transfer from 2D virtual fitting models to 3D space while enhancing cross-view consistency. This technology integrates personalized information into pre-trained 2D virtual fitting models through low-rank adaptation (LoRA). Additionally, it introduces a character-aware 3DGS editing framework to maintain consistent cross-view appearances and high-quality 3D geometric structures during the editing process. GS-VTON demonstrates its high fidelity and advanced editing capabilities in 3D virtual fittings through extensive experiments and comparative analyses with existing methods, proving its effectiveness in this domain.