collaborators

7 papers

cs.CV2026

Surface-to-Skeleton 3D Cephalometry: Estimating Hidden Skeletal Landmarks from CT-Derived External Soft-Tissue Surfaces

Tomoki Abe, Taiki Kanaya, Kazuki Saita +4

Existing 3D facial-landmark methods localize points on visible skin, but whether CT-defined internal skeletal landmarks can be inferred from external soft-tissue geometry remains u…

cs.CV2025

DiT-VTON: Diffusion Transformer Framework for Unified Multi-Category Virtual Try-On and Virtual Try-All with Integrated Image Editing

Qi Li, Shuwen Qiu, Julien Han +4

The rapid growth of e-commerce has intensified the demand for Virtual Try-On (VTO) technologies, enabling customers to realistically visualize products overlaid on their own images…

cs.CV2025

InstructVTON: Optimal Auto-Masking and Natural-Language-Guided Interactive Style Control for Inpainting-Based Virtual Try-On

Julien Han, Shuwen Qiu, Qi Li +4

We present InstructVTON, an instruction-following interactive virtual try-on system that allows fine-grained and complex styling control of the resulting generation, guided by natu…

cs.CV2025

Efficient Encoder-Free Pose Conditioning and Pose Control for Virtual Try-On

Qi Li, Shuwen Qiu, Julien Han +4

As online shopping continues to grow, the demand for Virtual Try-On (VTON) technology has surged, allowing customers to visualize products on themselves by overlaying product image…

cs.CV2025

DEFT-VTON: Efficient Virtual Try-On with Consistent Generalised H-Transform

Xingzi Xu, Qi Li, Shuwen Qiu +2

Diffusion models enable high-quality virtual try-on (VTO) with their established image synthesis abilities. Despite the extensive end-to-end training of large pre-trained models in…

cs.LG2025

C2-DPO: Constrained Controlled Direct Preference Optimization

Kavosh Asadi, Julien Han, Idan Pipano +5

Direct preference optimization (\texttt{DPO}) has emerged as a promising approach for solving the alignment problem in AI. In this paper, we make two counter-intuitive observations…