activity
20192026
most citedNeural Style-Preserving Visual Dubbing

63 citations · 198 across the 44 of their papers we have counts for

collaborators

54 papers

cs.CV2026

OmniFabric: Coherent UV Space Texture Synthesis for 3D Garment Reconstruction

Ding-Jiun Huang, Yuanhao Wang, Cheng Zhang +4

Automated generation of production-ready 3D garment assets from a single image is a central challenge in digital content creation. While recent generative models have significantly…

cs.CV2026

GNM Head: A Generative aNthropometric Model of the human head

Stylianos Ploumpis, Jan Bednarik, Gaspard Zoss +29

Parametric models of the human head are essential tools traditionally used in computer vision and graphics for animation, rendering, and reconstruction. More recently, they serve a…

cs.CV2026

Differentiable Polarized Path Tracing

Pramod Rao, Jérémy Riviere, Xilong Zhou +6

Physically based differentiable rendering has proven to be a powerful tool for inverse rendering problems (e.g., 3D reconstruction, reflectance estimation, lighting estimation). Ho…

cs.LG2026

Concurrent Image Understanding and Generation: Self-Correcting Coupled Markov Jump Processes

Minh-Quan Le, Armand Comas, Alexandros Lattas +7

Human cognition does not separate understanding and generation. A teacher at a whiteboard speaks and draws , each modality reshapes the other. In this paper, we…

cs.CV2026

Diversify Diffusion with Temperature Sampling and Variance-Corrective Time Shifting

Peizhuo Li, Emre Aksan, Alexandru-Eugen Ichim +2

Diffusion models faithfully reproduce their training distribution, but also inherit its imbalances and leave rare or under-represented modes hard to reach. A natural inference-time…

cs.CV2026

Towards Real-World Wearable Motion Reconstruction

Andrea Boscolo Camiletto, Rishabh Dabral, Eduardo Alvarado +3

The modern-day surge in popularity of wearable devices poses a fundamentally unique motion capture problem: reconstructing full-body movement from any set of sensing hardware worn…