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Spatial intelligence has recently been assessed through generative tasks such as spatially grounded image editing, yet language-guided generation of spatially consistent views from partial multi-view observations remains underexplored. We introduce MindView, a benchmark for generative multi-view spatial intelligence wi...
This work introduces HarnessEval-W, an agentified evaluation pipeline that brings the harness paradigm from the LLM ecosystem to world model benchmarking, and applies HarnessEval-W to 18 representative world models over 330 evaluation cases.
Improved text-visual attention patterns are introduced to enhance the fidelity of query-aware vision token selection and the Attention Gravity effect is correct, and a rank-based strategy to adaptively determine the sparsification ratio for each layer is introduced.
GaussianDet3D is presented, the first method to apply 3D Gaussian Splatting from multi-view images to 3D object detection in the context of autonomous driving, treating predicted Gaussian primitives as a pseudo-LiDAR point cloud fed into a sparse LiDAR detector.
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