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MLLM-GS: Multimodal Large Language Model Prior-Guided Fast Novel View Synthesis in Extreme Environments

Paper recorded by Signals 4 on 2026-10-29 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-29 on arXiv · recorded by Signals 4 on 2026-10-30

Category: cs.CV · 计算机视觉 · first seen 2026-10-30

Abstract

Novel view synthesis (NVS) in degraded scenes aims to reconstruct 3D scenes from multi-view observations affected by various degradations, and to generate clear and photorealistic images at unseen viewpoints. Despite recent advances, existing methods often rely on degradation-specific models, limiting their generalization across diverse extreme environments. Generative models provide rich visual p

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#72 most recent of 710 cs.CV papers we have recorded · ↑ newer: BiHashFormer: Hash-Driven Dual-Branch Transformer for Efficient Object · ↓ older: Spectral Invariant Fusion and Refinement for Domain Generalized Semant
Cite this page: MLLM-GS: Multimodal Large Language Model Prior-Guided Fast Novel View Synthesis in Extreme Environments: the #72 most recent of 710 cs.CV papers we have recorded (as of 2026-10-29). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/mllm-gs-multimodal-large-language-model-prior-guided-fast-novel-view-synthesis-i.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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