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Guiding Image-to-3D Generation with Test-Time Partial Observations

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

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

Category: cs.CV · 计算机视觉 · first seen 2026-09-10

Abstract

Image-to-3D models can generate visually compelling 3D assets from a single RGB image, but their geometry is often only loosely constrained by the available observations, limiting their use in applications that require geometric fidelity. In many real-world settings, however, partial geometric observations of the object may be available at test time. We introduce a training-free framework for inco

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#96 most recent of 237 cs.CV papers we have recorded · ↑ newer: Programmable World Model · ↓ older: Precision in Rice Variety Classification using Stacking-Based Ensemble
Cite this page: Guiding Image-to-3D Generation with Test-Time Partial Observations: the #96 most recent of 237 cs.CV papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/guiding-image-to-3d-generation-with-test-time-partial-observations.html
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