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20232026
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cs.CV2026

Unwarping the Lens: A Physics-Grounded Approach to Video Glasses Removal

Radim Spetlik, David Futschik, Radek Danecek +4

High-fidelity removal of eyeglasses from video is a major challenge in facial attribute editing, as the underlying facial geometry is often obscured by complex refractive distortio…

cs.CV2026

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…

cs.CV2026

Talking Together: Synthesizing Co-Located 3D Conversations from Audio

Mengyi Shan, Shouchieh Chang, Ziqian Bai +6

We tackle the challenging task of generating complete 3D facial animations for two interacting, co-located participants from a mixed audio stream. While existing methods often prod…

cs.CV2024

EgoAvatar: Egocentric View-Driven and Photorealistic Full-body Avatars

Jianchun Chen, Jian Wang, Yinda Zhang +4

Immersive VR telepresence ideally means being able to interact and communicate with digital avatars that are indistinguishable from and precisely reflect the behaviour of their rea…

cs.CV2024

LightAvatar: Efficient Head Avatar as Dynamic Neural Light Field

Huan Wang, Feitong Tan, Ziqian Bai +9

Recent works have shown that neural radiance fields (NeRFs) on top of parametric models have reached SOTA quality to build photorealistic head avatars from a monocular video. Howev…

cs.CV2024

Efficient 3D Implicit Head Avatar with Mesh-anchored Hash Table Blendshapes

Ziqian Bai, Feitong Tan, Sean Fanello +5

3D head avatars built with neural implicit volumetric representations have achieved unprecedented levels of photorealism. However, the computational cost of these methods remains a…