Browse State-of-the-Art › Feature Splatting
Feature Splatting
4 papers with code · 0 benchmarks · 0 datasets archive 2025-07-28
Feature splatting is the development of high-level robot manipulation of 3D objects generated by Gaussian splatting
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
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Datasets archive 2025-07-28
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Subtasks archive 2025-07-28
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Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
4 shown of 4 papers with code (9 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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20 Mar 2025 1 repository listedWe present 3D Spatial MultiModal Memory (M3), a multimodal memory system designed to retain information about medium-sized static scenes through video sources for visual perception.
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4 Jul 2024 1 repository listedIn this paper, we propose a novel framework to render high-quality images from sparse points.
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24 May 2024 1 repository listedFinally, we also show the capacity and convenience of our feature vector representation, demonstrating its capability not only to generate RGB values for novel views, but also their per-pixel semantic labels.
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28 Dec 2023 1 repository listed Syntology ran 8 of 14 samples · 6 unverified · 14 pointer-only (licence)Novel view synthesis of dynamic scenes has been an intriguing yet challenging problem.
Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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