VISA improves closed-set 3D occupancy mIoU on nuScenes by using VLM instance audits as reliability-weighted semantic supervisors during training of existing world models.
Quadricformer: Scene as superquadrics for 3d semantic occupancy prediction
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Diffusion for 3D shapes is moved from dense geometry to compact superquadric parameter sets, cutting state size to roughly 7 KB per shape and enabling faster generation plus new editing capabilities.
DVGT-2 is a streaming vision-geometry-action model that jointly reconstructs dense 3D geometry and plans trajectories online, achieving better reconstruction than prior batch methods while transferring directly to planning benchmarks without fine-tuning.
TFusionOcc uses a family of Student's t-distribution T-primitives and a T-mixture model for multi-sensor 3D occupancy prediction, reporting state-of-the-art results on nuScenes.
citing papers explorer
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VISA: VLM-Guided Instance Semantic Auditing for 3D Occupancy World Models
VISA improves closed-set 3D occupancy mIoU on nuScenes by using VLM instance audits as reliability-weighted semantic supervisors during training of existing world models.
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Rethinking 3D Shape Generation: Diffusion over Superquadrics
Diffusion for 3D shapes is moved from dense geometry to compact superquadric parameter sets, cutting state size to roughly 7 KB per shape and enabling faster generation plus new editing capabilities.
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DVGT-2: Vision-Geometry-Action Model for Autonomous Driving at Scale
DVGT-2 is a streaming vision-geometry-action model that jointly reconstructs dense 3D geometry and plans trajectories online, achieving better reconstruction than prior batch methods while transferring directly to planning benchmarks without fine-tuning.
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TFusionOcc: T-Primitive Based Object-Centric Multi-Sensor Fusion Framework for 3D Occupancy Prediction
TFusionOcc uses a family of Student's t-distribution T-primitives and a T-mixture model for multi-sensor 3D occupancy prediction, reporting state-of-the-art results on nuScenes.