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Gaussian Set Surface Reconstruction through Per-Gaussian Optimization

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-46487-9_31openalex-snapshot

Pixelwise View Selection for Unstructured Multi-View Stereo

inferredcites →https://doi.org/10.1049/ipr2.13190openalex-snapshot

Point'n Move: Interactive scene object manipulation on Gaussian splatting radiance fields

inferredcites →https://doi.org/10.1109/cvpr.2014.59openalex-snapshot

Large Scale Multi-view Stereopsis Evaluation

inferredcites →https://doi.org/10.1109/visual.2001.964489openalex-snapshot

Point set surfaces

inferredcites →https://doi.org/10.1109/visual.2001.964490openalex-snapshot

EWA volume splatting

inferredcites →https://doi.org/10.1109/wacv61041.2025.00241openalex-snapshot

DN-Splatter: Depth and Normal Priors for Gaussian Splatting and Meshing

inferredcites →https://doi.org/10.1145/280811.281026openalex-snapshot

Marching cubes

inferredcites →https://doi.org/10.1145/3072959.3073599openalex-snapshot

Tanks and temples

inferredcites →https://doi.org/10.1145/3503250openalex-snapshot

NeRF

inferredcites →https://doi.org/10.1145/3592433openalex-snapshot

3D Gaussian Splatting for Real-Time Radiance Field Rendering

inferredcites →https://doi.org/10.1145/3687937openalex-snapshot

Gaussian Opacity Fields: Efficient Adaptive Surface Reconstruction in Unbounded Scenes

inferredcites →https://doi.org/10.52202/079017-4434openalex-snapshot

VCR-GauS: View Consistent Depth-Normal Regularizer for Gaussian Surface Reconstruction

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