SplatWeaver uses cardinality Gaussian experts and pixel-level routing to dynamically allocate varying numbers of Gaussian primitives for generalizable novel view synthesis.
Tokensplat: Token- aligned 3d gaussian splatting for feed-forward pose-free reconstruction
4 Pith papers cite this work. Polarity classification is still indexing.
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PRISM is a feed-forward framework that decomposes single-image 3D reconstruction into a geometric warp prior plus residual correction, claiming competitive quality at 36-second inference.
VG²GT regresses Gaussian primitive parameters from multi-scale voxel features of a frozen VFM and uses stochastic solid volume rendering for depth supervision to produce geometrically accurate reconstructions that outperform prior methods on DTU, Replica, TAT, and ScanNet.
CanonicalGS aggregates view-centric evidence into a canonical latent world with uncertainty-aware fusion to improve novel view synthesis and downstream perception tasks.
citing papers explorer
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SplatWeaver: Learning to Allocate Gaussian Primitives for Generalizable Novel View Synthesis
SplatWeaver uses cardinality Gaussian experts and pixel-level routing to dynamically allocate varying numbers of Gaussian primitives for generalizable novel view synthesis.
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PRISM: Feed-Forward Single-Image 3D Reconstruction via Geometric Warp-Residual Modeling
PRISM is a feed-forward framework that decomposes single-image 3D reconstruction into a geometric warp prior plus residual correction, claiming competitive quality at 36-second inference.
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$\text{VG}^2$GT: Voxel-Gaussian Splatting Visual Geometry Grounded Transformer
VG²GT regresses Gaussian primitive parameters from multi-scale voxel features of a frozen VFM and uses stochastic solid volume rendering for depth supervision to produce geometrically accurate reconstructions that outperform prior methods on DTU, Replica, TAT, and ScanNet.
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Learning Stable Canonical Worlds for Novel View Synthesis and Beyond
CanonicalGS aggregates view-centric evidence into a canonical latent world with uncertainty-aware fusion to improve novel view synthesis and downstream perception tasks.