GaussLite conditions 3D Gaussian Splatting seeding density, gradient flow, and scaling on task relevance masks derived from LLM-parsed natural language and open-vocabulary detection, yielding +2.72 dB ROI PSNR gains on Replica and +2.23 dB on real hardware at fixed budget.
Gaus- sianlens: Localized high-resolution reconstruction via on-demand gaussian densification,
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L2D2-GS reformulates generalizable dynamic Gaussian reconstruction as iterative optimization with a self-supervised densification policy and geometric regularization, claiming SOTA fidelity and zero-shot generalization on PandaSet and Waymo with fewer primitives.
citing papers explorer
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GaussLite: Online Task-Conditioned 3D Gaussian Splatting for Real-Time Robotic Mapping
GaussLite conditions 3D Gaussian Splatting seeding density, gradient flow, and scaling on task relevance masks derived from LLM-parsed natural language and open-vocabulary detection, yielding +2.72 dB ROI PSNR gains on Replica and +2.23 dB on real hardware at fixed budget.
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L2D2-GS: Learning to Densify for Feedforward Dynamic Gaussian Scene Reconstruction
L2D2-GS reformulates generalizable dynamic Gaussian reconstruction as iterative optimization with a self-supervised densification policy and geometric regularization, claiming SOTA fidelity and zero-shot generalization on PandaSet and Waymo with fewer primitives.