7 papers
Learning Sewing Patterns via Latent Flow Matching of Implicit Fields
Cong Cao, Ren Li, Corentin Dumery +1
Sewing patterns define the structural foundation of garments and are essential for applications such as fashion design, fabrication, and physical simulation. Despite progress in au…
Automated Counting of Stacked Objects in Industrial Inspection
Corentin Dumery, Noa Etté, Aoxiang Fan +4
Visual object counting is a fundamental computer vision task in industrial inspection, where accurate, high-throughput inventory tracking and quality assurance are critical. Moreov…
Spatio-Temporal Garment Reconstruction Using Diffusion Mapping via Pattern Coordinates
Yingxuan You, Ren Li, Corentin Dumery +3
Reconstructing 3D clothed humans from monocular images and videos is a fundamental problem with applications in virtual try-on, avatar creation, and mixed reality. Despite signific…
Counting Stacked Objects
Corentin Dumery, Noa Etté, Aoxiang Fan +4
Visual object counting is a fundamental computer vision task underpinning numerous real-world applications, from cell counting in biomedicine to traffic and wildlife monitoring. Ho…
Single View Garment Reconstruction Using Diffusion Mapping Via Pattern Coordinates
Ren Li, Cong Cao, Corentin Dumery +3
Reconstructing 3D clothed humans from images is fundamental to applications like virtual try-on, avatar creation, and mixed reality. While recent advances have enhanced human body…
MonoGS++: Fast and Accurate Monocular RGB Gaussian SLAM
Renwu Li, Wenjing Ke, Dong Li +2
We present MonoGS++, a novel fast and accurate Simultaneous Localization and Mapping (SLAM) method that leverages 3D Gaussian representations and operates solely on RGB inputs. Whi…