TranSplat performs instant object relighting in Gaussian Splatting by analytically modulating SH appearance coefficients via per-normal irradiance ratios from source and target environment maps, with dual-path specularity handling and SH self-shadowing.
Segment any 3d gaussians
9 Pith papers cite this work. Polarity classification is still indexing.
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FalconTrack automates photorealistic dataset creation via Gaussian Splatting and achieves high zero-shot sim-to-real performance in vision-based aerial tracking using multi-head perception and class-conditioned EKF.
Diffusion-based per-view harmonization for lighting-consistent object transfer between 3DGS scenes, using heterogeneous training data and final 3D consolidation.
EPS3D is an end-to-end architecture for 3D panoptic segmentation from multi-view images that uses distillation and semantic-instance mutual enhancement to achieve higher benchmark performance and speed than prior methods.
A 3D object codebook leveraging mask semantics and Gaussian spatial information enables multi-view mask association for indoor asset detection in 3DGS scenes, yielding 65% F1 and 11% mAP gains on two large indoor scenes.
TrianguLang achieves state-of-the-art feed-forward text-guided 3D localization and segmentation by using predicted geometry to gate cross-view semantic correspondences without ground-truth poses.
Semantic Foam extends Radiant Foam with explicit cell-level semantic feature fields and spatial regularization to improve object segmentation consistency in scene representations.
FF3R unifies geometric and semantic 3D reconstruction in a single annotation-free feed-forward network trained solely via RGB and feature rendering supervision.
A survey compiling principles, applications, benchmarks, and challenges of 3D Gaussian Splatting for explicit 3D scene representation.
citing papers explorer
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TranSplat: Instant Object Relighting in Gaussian Splatting via Spherical Harmonic Radiance Transfer
TranSplat performs instant object relighting in Gaussian Splatting by analytically modulating SH appearance coefficients via per-normal irradiance ratios from source and target environment maps, with dual-path specularity handling and SH self-shadowing.
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FalconTrack: Photorealistic Auto-Labeled Perception and Physics-Aware Vision-Based Aerial Tracking
FalconTrack automates photorealistic dataset creation via Gaussian Splatting and achieves high zero-shot sim-to-real performance in vision-based aerial tracking using multi-head perception and class-conditioned EKF.
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Lighting-Consistent Object Transfer Across Radiance Fields
Diffusion-based per-view harmonization for lighting-consistent object transfer between 3DGS scenes, using heterogeneous training data and final 3D consolidation.
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EPS3D: End-to-End Feed-Forward 3D Panoptic Segmentation
EPS3D is an end-to-end architecture for 3D panoptic segmentation from multi-view images that uses distillation and semantic-instance mutual enhancement to achieve higher benchmark performance and speed than prior methods.
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Indoor Asset Detection in Large Scale 360{\deg} Drone-Captured Imagery via 3D Gaussian Splatting
A 3D object codebook leveraging mask semantics and Gaussian spatial information enables multi-view mask association for indoor asset detection in 3DGS scenes, yielding 65% F1 and 11% mAP gains on two large indoor scenes.
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TrianguLang: Geometry-Aware Semantic Consensus for Pose-Free 3D Localization
TrianguLang achieves state-of-the-art feed-forward text-guided 3D localization and segmentation by using predicted geometry to gate cross-view semantic correspondences without ground-truth poses.
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Semantic Foam: Unifying Spatial and Semantic Scene Decomposition
Semantic Foam extends Radiant Foam with explicit cell-level semantic feature fields and spatial regularization to improve object segmentation consistency in scene representations.
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FF3R: Feedforward Feature 3D Reconstruction from Unconstrained views
FF3R unifies geometric and semantic 3D reconstruction in a single annotation-free feed-forward network trained solely via RGB and feature rendering supervision.
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A Survey on 3D Gaussian Splatting
A survey compiling principles, applications, benchmarks, and challenges of 3D Gaussian Splatting for explicit 3D scene representation.