ConFixGS repairs feedforward 3D Gaussian Splatting with confidence-aware diffusion priors, delivering up to 3.68 dB PSNR gains and halved FID scores on Waymo, nuScenes, and KITTI novel view synthesis tasks.
Streetsurf: Extending multi-view implicit surface reconstruction to street views
4 Pith papers cite this work. Polarity classification is still indexing.
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cs.CV 4years
2026 4verdicts
UNVERDICTED 4roles
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Shell-supervised Gaussian Splatting uses an aligned exterior facade shell to provide mask-gated depth and normal supervision, improving surface orientation and point-cloud consistency while preserving rendering quality.
DrivingVoxels reconstructs dynamic driving scenes via compositional sparse voxel rasterization from multiple octrees, matching perceptual metrics and exceeding structural metrics of prior 3DGS methods with shorter training times using LiDAR initialization.
EnerGS introduces an energy-based soft guidance mechanism for partial geometry in 3D Gaussian Splatting to improve reconstruction quality and reduce overfitting in sparse outdoor settings.
citing papers explorer
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ConFixGS: Learning to Fix Feedforward 3D Gaussian Splatting with Confidence-Aware Diffusion Priors in Driving Scenes
ConFixGS repairs feedforward 3D Gaussian Splatting with confidence-aware diffusion priors, delivering up to 3.68 dB PSNR gains and halved FID scores on Waymo, nuScenes, and KITTI novel view synthesis tasks.
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Shell-Supervised Gaussian Splatting for Urban Real-to-Sim Reconstruction
Shell-supervised Gaussian Splatting uses an aligned exterior facade shell to provide mask-gated depth and normal supervision, improving surface orientation and point-cloud consistency while preserving rendering quality.
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DrivingVoxels: Compositional Sparse Voxel Rasterization for Dynamic Driving Scene Reconstruction
DrivingVoxels reconstructs dynamic driving scenes via compositional sparse voxel rasterization from multiple octrees, matching perceptual metrics and exceeding structural metrics of prior 3DGS methods with shorter training times using LiDAR initialization.
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EnerGS: Energy-Based Gaussian Splatting with Partial Geometric Priors
EnerGS introduces an energy-based soft guidance mechanism for partial geometry in 3D Gaussian Splatting to improve reconstruction quality and reduce overfitting in sparse outdoor settings.