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ManifoldSplat: Language-Guided Semantic Shape Editing of 3D Gaussian Head Avatars

Paper recorded by Signals 4 on 2026-10-02 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-02 on arXiv · recorded by Signals 4 on 2026-10-05

Category: cs.CV · 计算机视觉 · first seen 2026-10-05

Abstract

High-fidelity 3D head avatars have reached near-photorealistic quality. While recent methods enable text-driven manipulation, they struggle to provide fine-grained localized control, often entangling features or lacking geometric consistency. Modifying geometry through natural language currently requires slow per-prompt optimization or compromises identity and rigging. We present ManifoldSplat, th

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#371 most recent of 756 cs.CV papers we have recorded · ↑ newer: DEPICT: Scoring Text-to-Image Alignment by Answer Agreement · ↓ older: DuoMatching: Joint-Marginal Distribution Matching for Few-Step Video G
Cite this page: ManifoldSplat: Language-Guided Semantic Shape Editing of 3D Gaussian Head Avatars: the #371 most recent of 756 cs.CV papers we have recorded (as of 2026-10-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/manifoldsplat-language-guided-semantic-shape-editing-of-3d-gaussian-head-avatars.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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