SplatAnything proposes Gaussian Spacing Normalization for 3DGS
GSNorm canonicalizes Gaussian spacing in feed-forward 3DGS for consistent supervision across scenes.
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GSNorm canonicalizes Gaussian spacing in feed-forward 3DGS for consistent supervision across scenes.
EDGAR corrects artifacts in Gaussian avatar renderings using a fusion block with Sapiens identity features and a Mixture-of-Experts architecture.
SHield embeds payloads in 4DGS via SH coefficient perturbation for decoder-free ownership verification.
Across 34 scenes, Hexels beat memory-matched 2DGS by 4.53-7.38 dB PSNR with lower training VRAM.
The training-free method beat baselines on part segmentation and 3D and 4D referring segmentation using three new human-annotated benchmarks.
Seed Injection and Temporal Biased Relocation keep a fixed Gaussian budget while recovering small, fast-moving objects.
Imagine3D-LLM adds learnable summary tokens decoded into compact 3D Gaussian Splatting representations, improving multimodal LLM spatial reasoning across benchmarks.
FurE reconstructs editable animal fur strands from images without animal-fur datasets, about 10x faster.
OC-GS refines per-image angles in a shared orbit model to reconstruct objects from sparse, irregular turntable views.
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