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Reflection-aware Generative Novel View Synthesis

Paper recorded by Signals 4 on 2026-09-04 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-04 on arXiv · recorded by Signals 4 on 2026-09-07

Category: cs.AI · 人工智能 · first seen 2026-09-07

Abstract

We propose Ref-GeNVS, a training-free, reflection-aware method for generative novel view synthesis (NVS) in mirror scenes. Existing multi-view diffusion models often fail to recognize the mirror in the scene and cannot exploit reflected content for scene generation. To fix this issue without additional training, our key idea is to treat a mirror image as two complementary views. From input images,

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#166 most recent of 300 cs.AI papers we have recorded · ↑ newer: Necessary or Sufficient? Evaluating LLM Explanations With Behavioural · ↓ older: Molecular Déjà Vu: Digit-Level Retrieval of Published Values in Fronti
Cite this page: Reflection-aware Generative Novel View Synthesis: the #166 most recent of 300 cs.AI papers we have recorded (as of 2026-09-04). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/reflection-aware-generative-novel-view-synthesis.html
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