Flux-GS is a mobile-optimized 3D Gaussian Splatting method that compresses specular energy via Monte Carlo aggregation, recovers details with attribute-conditioned SH offsets, and uses multi-view guidance for densification to cut parameters while keeping visual quality.
Locality-aware gaussian compression for fast and high-quality rendering
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RefineSplat applies entropy-aware adaptive masking and density control to 3DGS to remove color- or semantically ambiguous distractors, validated on a new 18-scene Ambiguous wild dataset with claimed SOTA results.
3DGS³ adds gradient-guided super-sampling and lightweight temporal interpolation to low-resolution 3DGS renders to produce high-resolution, high-frame-rate output without retraining the underlying scene representation.
Iterative Gaussian Synopsis creates compact multi-level LOD hierarchies for 3D Gaussian Splatting via top-down unfolding with adaptive pruning, preserving quality while cutting storage.
POTR introduces simultaneous-effect pruning via a modified 3DGS rasterizer and entropy-reducing lighting coefficient recomputation to outperform prior post-training 3DGS compression methods in rate-distortion and inference speed.
MesonGS++ achieves over 34x compression of 3D Gaussian Splatting models post-training while preserving or exceeding original rendering quality through size-aware hyperparameter optimization.
citing papers explorer
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Monte Carlo Energy Aggregation for Mobile 3D Gaussian Splatting
Flux-GS is a mobile-optimized 3D Gaussian Splatting method that compresses specular energy via Monte Carlo aggregation, recovers details with attribute-conditioned SH offsets, and uses multi-view guidance for densification to cut parameters while keeping visual quality.
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Rectifying Mask via Entropy for Distractor-Free 3DGS in Ambiguous Scenarios
RefineSplat applies entropy-aware adaptive masking and density control to 3DGS to remove color- or semantically ambiguous distractors, validated on a new 18-scene Ambiguous wild dataset with claimed SOTA results.
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3DGS$^3$: Joint Super Sampling and Frame Interpolation for Real-Time Large-Scale 3DGS Rendering
3DGS³ adds gradient-guided super-sampling and lightweight temporal interpolation to low-resolution 3DGS renders to produce high-resolution, high-frame-rate output without retraining the underlying scene representation.
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Unfolding 3D Gaussian Splatting via Iterative Gaussian Synopsis
Iterative Gaussian Synopsis creates compact multi-level LOD hierarchies for 3D Gaussian Splatting via top-down unfolding with adaptive pruning, preserving quality while cutting storage.
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POTR: Post-Training 3DGS Compression
POTR introduces simultaneous-effect pruning via a modified 3DGS rasterizer and entropy-reducing lighting coefficient recomputation to outperform prior post-training 3DGS compression methods in rate-distortion and inference speed.
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MesonGS++: Post-training Compression of 3D Gaussian Splatting with Hyperparameter Searching
MesonGS++ achieves over 34x compression of 3D Gaussian Splatting models post-training while preserving or exceeding original rendering quality through size-aware hyperparameter optimization.