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Floating Radiance Networks combine explicit geometry with neural radiance fields

Researchers have introduced Floating Radiance Networks (FlaRe), a novel neural scene representation that merges explicit geometry with continuous neural radiance functions. This approach uses floating planar generalized Gaussian primitives, each containing a local radiance field descriptor. A shared decoder then uses this descriptor, along with surface coordinates and viewing direction, to generate color and opacity. FlaRe enables efficient querying, interactive rendering with features like reflections and shadows, and supports primitive-level manipulation such as deformation and mesh extraction. AI

IMPACT This new representation could enable more versatile and integrated neural rendering in graphics workflows.

RANK_REASON The cluster describes a new research paper detailing a novel method for neural scene representation.

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Floating Radiance Networks combine explicit geometry with neural radiance fields

COVERAGE [2]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    Floating Radiance Networks

    Recent advances in neural scene representations enable photorealistic novel-view synthesis, yet most methods remain tightly coupled to a single rendering paradigm, limiting their versatility and integration with conventional graphics workflows. We introduce Floating Radiance Netw…

  2. arXiv cs.CV TIER_1 English(EN) · Krzysztof Byrski, Rafa{\l} Tobiasz, Grzegorz Wilczy\'nski, Miko{\l}aj Zieli\'nski, Dawid Baran, Dominik Belter, Jacek Tabor, Przemys{\l}aw Spurek ·

    Floating Radiance Networks

    arXiv:2608.05920v1 Announce Type: new Abstract: Recent advances in neural scene representations enable photorealistic novel-view synthesis, yet most methods remain tightly coupled to a single rendering paradigm, limiting their versatility and integration with conventional graphic…