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DynamicMap_Benchmark
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LoTIS: Learning to Localize Reference Trajectories in Image-Space for Visual Navigation
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HilDA: Hierarchical Distillation with Diffusion for Advancing Self-Supervised LiDAR Pre-training
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A codebase for point cloud scene flow estimation research. Latest works: TeFlow(CVPR'26), DeltaFlow(NeurIPS'25), HiMo(T-RO'25), VoteFlow(CVPR'25), Flow4D(RA-L'25), SSF(ICRA'25), SeFlow(ECCV'24), DeFlow(ICRA'24) | Inlucde 13 methods | 6 public datasets
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[CVPR'26 Highlight] TeFlow: Enabling Multi-frame Supervision for Self-Supervised Feed-forward Scene Flow Estimation
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[NeurIPS'25 Spotlight] DeltaFlow: An Efficient Multi-frame Scene Flow Estimation Method
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