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Feed-Forward Multi-View Feature Coding for 3D Gaussian Splatting

Paper recorded by Signals 4 on 2026-10-14 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-14 on arXiv · recorded by Signals 4 on 2026-10-15

Category: cs.CV · 计算机视觉 · first seen 2026-10-15

Abstract

Feed-forward 3D Gaussian Splatting (3DGS) methods enable efficient reconstruction of 3D scenes from sparse multi-view images in a single forward pass, without scene-specific optimization. However, existing feed-forward scene-coding pipelines first generate a complete Gaussian representation and then encode its geometry and appearance attributes separately, often involving non-differentiable operat

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#270 most recent of 756 cs.CV papers we have recorded · ↑ newer: GeoThinker-$F$: Endogenous Predictive World Representations for Fast S · ↓ older: Any Time, Any Space: A World-State-Centric Framework for Agentic Video
Cite this page: Feed-Forward Multi-View Feature Coding for 3D Gaussian Splatting: the #270 most recent of 756 cs.CV papers we have recorded (as of 2026-10-14). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/feed-forward-multi-view-feature-coding-for-3d-gaussian-splatting.html
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