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arXiv Computer Vision By David Svitov, Mahtab Dahaghin, Pietro Morerio, Alessio Del Bue

NBAvatar: Neural Billboards Avatars with Realistic Hand-Face Interaction

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NBAvatar is a method for realistic rendering of head avatars that handles non‑rigid deformations caused by hand‑face interaction. It introduces a hybrid implicit‑explicit representation, combining explicit oriented planar primitives with implicit neural rendering, and uses a geometry‑aware training scheme to jointly optimize these representations. The approach achieves up to 53% LPIPS reduction compared to Gaussian‑based avatar methods, improves PSNR and SSIM, and surpasses the state‑of‑the‑art InteractAvatar in structural similarity for novel‑view and novel‑pose rendering.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computer Vision.

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