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From the 2 of 35 linked papers with an AI index.

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20242026
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cs.CV2026

GNM Head: A Generative aNthropometric Model of the human head

Stylianos Ploumpis, Jan Bednarik, Gaspard Zoss +28

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

The paper introduces a differentiable path tracing method that incorporates polarization information, enabling stable gradient computation for inverse rendering tasks such as mater…

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…

cs.CV2026

ECHO: Ego-Centric modeling of Human-Object interactions

Ilya A. Petrov, Vladimir Guzov, Riccardo Marin +5

Modeling human-object interactions (HOI) from an egocentric perspective is a critical yet challenging task, particularly when relying on sparse signals from wearable devices like s…

cs.CV2026

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…