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Revisiting Avatar-As-Image: High-Fidelity Registration is All You Need

Paper recorded by Signals 4 on 2026-09-10 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-10 on arXiv · recorded by Signals 4 on 2026-09-11

Category: cs.CV · 计算机视觉 · first seen 2026-09-11

Abstract

The representation of 3D clothed humans as standardized 2D UV texture and displacement maps over an underlying body model has long been studied. This compact representation is enticing as it enables pretrained image networks to process, generate, and edit 3D avatars, but is only useful if scans are accurately aligned and brought into correspondence via high-fidelity registration. This prerequisite

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#82 most recent of 237 cs.CV papers we have recorded · ↑ newer: Guided Super-Resolution of Digital Elevation Models with Diffusion-Bas · ↓ older: MC-DeTra: Motion-Consistent Joint Object Detection and Socially-Aware
Cite this page: Revisiting Avatar-As-Image: High-Fidelity Registration is All You Need: the #82 most recent of 237 cs.CV papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/revisiting-avatar-as-image-high-fidelity-registration-is-all-you-need.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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