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.
The unreasonable effectiveness of deep features as a perceptual metric,
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FLARE introduces a fixed-length 3D dense fingerprint descriptor integrated with pose-based alignment and ridge enhancement for robust cross-modality matching.
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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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Fixed-Length Dense Fingerprint Representation with Alignment and Robust Enhancement
FLARE introduces a fixed-length 3D dense fingerprint descriptor integrated with pose-based alignment and ridge enhancement for robust cross-modality matching.