VGGT-SLAM aligns VGGT submaps via SL(4) manifold optimization of 15-DoF homographies to enable consistent dense RGB SLAM on long uncalibrated monocular videos.
3d gaussian splatting for real-time radiance field rendering
4 Pith papers cite this work. Polarity classification is still indexing.
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Large-chunk online updates during inference let test-time training scale state capacity to 40% of model size and handle contexts up to 1M tokens without custom kernels.
ODE-GS uses latent neural ODEs on Gaussian parameters to extrapolate dynamic 3D scenes, reporting 19.8% metric gains over baselines on D-NeRF, NVFi, and HyperNeRF.
Hunyuan3D 2.0 scales flow-based diffusion transformers and texture synthesis models to generate high-resolution textured 3D assets that outperform prior state-of-the-art in geometry, alignment, and texture quality.
citing papers explorer
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VGGT-SLAM: Dense RGB SLAM Optimized on the SL(4) Manifold
VGGT-SLAM aligns VGGT submaps via SL(4) manifold optimization of 15-DoF homographies to enable consistent dense RGB SLAM on long uncalibrated monocular videos.
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Test-Time Training Done Right
Large-chunk online updates during inference let test-time training scale state capacity to 40% of model size and handle contexts up to 1M tokens without custom kernels.
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ODE-GS: Latent ODEs for Dynamic Scene Extrapolation with 3D Gaussian Splatting
ODE-GS uses latent neural ODEs on Gaussian parameters to extrapolate dynamic 3D scenes, reporting 19.8% metric gains over baselines on D-NeRF, NVFi, and HyperNeRF.
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Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation
Hunyuan3D 2.0 scales flow-based diffusion transformers and texture synthesis models to generate high-resolution textured 3D assets that outperform prior state-of-the-art in geometry, alignment, and texture quality.