30 citations · 104 across the 42 of their papers we have counts for
41 papers · 1 filter
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…
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…
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…
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…
DCGrasp: Distance-aware Controllable Grasp Generation
Hiroyasu Akada, Jesús Pérez, Emre Aksan +6
Generating 3D hand-object interactions is essential for applications in robotics, XR, and synthetic data generation, where flexible controllability and strong generalization to div…
EgoRelight: Egocentric Human Capture and Illumination Recovery for Relightable and Photoreal Avatar Rendering
Jianchun Chen, Yinda Zhang, Rohit Pandey +3
Mixed Reality (MR) headsets promise a future of immersive telepresence where virtual humans blend indistinguishably into real or virtual surroundings. Achieving this vision require…