18 citations · 35 across the 10 of their papers we have counts for
18 papers · 1 filter
ModaFlow: Modality-Aware Flow Matching for High-Fidelity Virtual Try-On
Xiangyu Sai, Meysam Madadi, Sergio Escalera +1
Image-based virtual try-on has emerged as a compelling task in e-commerce and augmented reality, yet existing methods struggle to simultaneously preserve fine garment semantics and…
What Matters in Virtual Try-Off? Dual-UNet Diffusion Model For Garment Reconstruction
Loc-Phat Truong, Meysam Madadi, Sergio Escalera
Virtual Try-On (VTON) has seen rapid advancements, providing a strong foundation for generative fashion tasks. However, the inverse problem, Virtual Try-Off (VTOFF)-aimed at recons…
MV-Fashion: Towards Enabling Virtual Try-On and Size Estimation with Multi-View Paired Data
Hunor Laczkó, Libang Jia, Loc-Phat Truong +4
Existing 4D human datasets fall short for fashion-specific research, lacking either realistic garment dynamics or task-specific annotations. Synthetic datasets suffer from a realis…
Multimodal classification of forest biodiversity potential from 2D orthophotos and 3D airborne laser scanning point clouds
Simon B. Jensen, Stefan Oehmcke, Andreas Møgelmose +4
Assessment of forest biodiversity is crucial for ecosystem management and conservation. While traditional field surveys provide high-quality assessments, they are labor-intensive a…
A Generative Multi-Resolution Pyramid and Normal-Conditioning 3D Cloth Draping
Hunor Laczkó, Meysam Madadi, Sergio Escalera +1
RGB cloth generation has been deeply studied in the related literature, however, 3D garment generation remains an open problem. In this paper, we build a conditional variational au…
ChaLearn Looking at People: Inpainting and Denoising challenges
Sergio Escalera, Marti Soler, Stephane Ayache +6
Dealing with incomplete information is a well studied problem in the context of machine learning and computational intelligence. However, in the context of computer vision, the pro…