SparseSplat uses entropy-based probabilistic sampling and a specialized point cloud network to generate compact 3D Gaussian maps that retain high rendering quality with far fewer Gaussians than prior feed-forward methods.
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RiGS decomposes scenes into static, rigid, and transient 4D Gaussians with an object-wise dynamic mask and scene flow guidance to model multi-scale motions and achieve SOTA novel view synthesis.
Sat3R adapts Depth Anything V2 via RPC-aware metric depth fine-tuning to deliver satellite DSM reconstruction with 38% lower MAE than zero-shot baselines and over 300x speedup versus optimization methods.
Pruned local linear blendshapes on Gaussians capture pose-dependent appearance changes to deliver high-quality mobile avatars at 120 FPS from multi-view video without pretrained models.
PhysMorph-GS injects visual supervision via deformation gradients in differentiable physics simulation and uses phased Chamfer-guided plasticity to reduce silhouette error by up to 49.9% compared to physics-only baselines.
LCD-GS decouples luminance and chromaticity in 3D Gaussian Splatting to handle extreme radiance variations better than prior multi-exposure methods while using a simpler architecture.
AugSplat augments Gaussian Splatting with synthetic views from a pre-trained radiance field to improve sparse-view reconstruction quality on mip-NeRF 360 scenes while keeping real-time rendering.
citing papers explorer
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SparseSplat: Towards Applicable Feed-Forward 3D Gaussian Splatting with Pixel-Unaligned Prediction
SparseSplat uses entropy-based probabilistic sampling and a specialized point cloud network to generate compact 3D Gaussian maps that retain high rendering quality with far fewer Gaussians than prior feed-forward methods.
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RiGS: Rigid-aware 4D Gaussian Splatting from a Single Monocular Video
RiGS decomposes scenes into static, rigid, and transient 4D Gaussians with an object-wise dynamic mask and scene flow guidance to model multi-scale motions and achieve SOTA novel view synthesis.
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Sat3R: Satellite DSM Reconstruction via RPC-Aware Depth Fine-tuning
Sat3R adapts Depth Anything V2 via RPC-aware metric depth fine-tuning to deliver satellite DSM reconstruction with 38% lower MAE than zero-shot baselines and over 300x speedup versus optimization methods.
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High-Fidelity Mobile Avatars with Pruned Local Blendshapes
Pruned local linear blendshapes on Gaussians capture pose-dependent appearance changes to deliver high-quality mobile avatars at 120 FPS from multi-view video without pretrained models.
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PhysMorph-GS: Render-Guided Volumetric Morphing with Differentiable Physics
PhysMorph-GS injects visual supervision via deformation gradients in differentiable physics simulation and uses phased Chamfer-guided plasticity to reduce silhouette error by up to 49.9% compared to physics-only baselines.
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High Dynamic Range 3D Gaussian Splatting via Luminance-Chromaticity Decomposition
LCD-GS decouples luminance and chromaticity in 3D Gaussian Splatting to handle extreme radiance variations better than prior multi-exposure methods while using a simpler architecture.
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AugSplat: Radiance Field-Informed Gaussian Splatting for Sparse-View Settings
AugSplat augments Gaussian Splatting with synthetic views from a pre-trained radiance field to improve sparse-view reconstruction quality on mip-NeRF 360 scenes while keeping real-time rendering.