Update README.md

Add recent scene flow estimation papers including RPPformer-Flow, GotFlow3D, PointFlowHop, WSAFlowNet.

README.md

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 ## 2023
 - **[CVPR 23]** Hidden Gems: 4D Radar Scene Flow Learning Using Cross-Modal Supervision [[2303.00462]](https://arxiv.org/abs/2303.00462)[[code]](https://github.com/Toytiny/CMFlow)![GitHub stars](https://img.shields.io/github/stars/supersyq/SPFlowNet.svg?logo=github&label=Stars)
 - **[CVPR 23]** SCOOP: Self-Supervised Correspondence and Optimization-Based Scene Flow [[2211.14020]](https://arxiv.org/abs/2211.14020)[[code]](https://github.com/itailang/SCOOP)![GitHub stars](https://img.shields.io/github/stars/itailang/SCOOP.svg?logo=github&label=Stars)
--  Self-Supervised 3D Scene Flow Estimation Guided by Superpoints [[2305.02528]](https://arxiv.org/abs/2305.02528)[[code]](https://github.com/supersyq/SPFlowNet)![GitHub stars](https://img.shields.io/github/stars/supersyq/SPFlowNet.svg?logo=github&label=Stars)
+- **[CVPR 23]** Self-Supervised 3D Scene Flow Estimation Guided by Superpoints [[2305.02528]](https://arxiv.org/abs/2305.02528)[[code]](https://github.com/supersyq/SPFlowNet)![GitHub stars](https://img.shields.io/github/stars/supersyq/SPFlowNet.svg?logo=github&label=Stars)
 - **[arXiv]** GMSF: Global Matching Scene Flow [[2305.17432]](https://arxiv.org/abs/2305.17432)
 - **[arXiv]** ZeroFlow: Fast Zero Label Scene Flow via Distillation [[2305.10424]](https://arxiv.org/abs/2305.10424)[[code]](https://github.com/kylevedder/zeroflow)![GitHub stars](https://img.shields.io/github/stars/kylevedder/zeroflow.svg?logo=github&label=Stars)
 - **[arXiv]** ContrastMotion: Self-supervised Scene Motion Learning for Large-Scale LiDAR Point Clouds [[2304.12589]](https://arxiv.org/abs/2304.12589)
 - **[arXiv]** Fast Neural Scene Flow [[2304.09121]](https://arxiv.org/abs/2304.09121)[[code]](https://github.com/Lilac-Lee/FastNSF)![GitHub stars](https://img.shields.io/github/stars/Lilac-Lee/FastNSF.svg?logo=github&label=Stars)
 - **[arXiv]** Re-Evaluating LiDAR Scene Flow for Autonomous Driving [[2304.02150]](https://arxiv.org/abs/2304.02150)
 - **[[RAL 23](https://ieeexplore.ieee.org/abstract/document/10064005)]** PT-FlowNet: Scene Flow Estimation on Point Clouds with Point Transformer
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+- **[arXiv]** GotFlow3D: Recurrent Graph Optimal Transport for Learning 3D Flow Motion in Particle Tracking [[2210.17012]](https://arxiv.org/abs/2210.17012)
+- **[arXiv]** PointFlowHop: Green and Interpretable Scene Flow Estimation from Consecutive Point Clouds [[2302.14193]](https://arxiv.org/abs/2302.14193)
+- **[arXiv]** Exploiting Implicit Rigidity Constraints via Weight-Sharing Aggregation for Scene Flow Estimation from Point Clouds [[2303.02454]](https://arxiv.org/abs/2303.02454)
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 ## 2022
 - **[[ECCV 22](https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136990210.pdf)]** FH-Net: A Fast Hierarchical Network for Scene Flow Estimation on Real-world Point Clouds [[code]](https://github.com/pigtigger/FH-Net)![GitHub stars](https://img.shields.io/github/stars/pigtigger/FH-Net.svg?logo=github&label=Stars)
 - **[[RAL 22](https://ieeexplore.ieee.org/abstract/document/9920196)]** Estimation and Propagation: Scene Flow Prediction on Occluded Point Clouds
@@ -32,7 +35,7 @@
 - **[[IJCV](https://link.springer.com/article/10.1007/s11263-021-01551-y)]** Learning Scene Dynamics from Point Cloud Sequences [[2111.08755]](https://arxiv.org/abs/2111.08755) [[code]](https://github.com/BestSonny/SPCM)![GitHub stars](https://img.shields.io/github/stars/BestSonny/SPCM.svg?logo=github&label=Stars)
 - **[RA-L&IROS 22]** Self-Supervised Scene Flow Estimation with 4D Automotive Radar [[2203.01137]](http://arxiv.org/abs/2203.01137)[[code]](https://github.com/Toytiny/RaFlow)![GitHub stars](https://img.shields.io/github/stars/Toytiny/RaFlow.svg?logo=github&label=Stars)
 - **[arXiv]** Learning Scene Flow in 3D Point Clouds with Noisy Pseudo Labels [[2203.12655]](http://arxiv.org/abs/2203.12655)
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+- **[ACM MM 22]** RPPformer-Flow: Relative Position Guided Point Transformer for Scene Flow Estimation [[link]](https://dl.acm.org/doi/abs/10.1145/3503161.3547771) [[code]](https://github.com/ustc-hlli/RPPformer-Flow/tree/main)![GitHub stars](https://img.shields.io/github/stars/ustc-hlli/RPPformer-Flow.svg?logo=github&label=Stars)
 ## 2021
 - **[CVPR 21]** Self-Supervised Pillar Motion Learning for Autonomous Driving [[2104.08683]](http://arxiv.org/abs/2104.08683)[[code]](https://github.com/qcraftai/pillar-motion)![GitHub stars](https://img.shields.io/github/stars/qcraftai/pillar-motion.svg?logo=github&label=Stars)
 - **[CVPR 21]** Learning to Segment Rigid Motions from Two Frames [[2101.03694]](http://arxiv.org/abs/2101.03694)[[code]](https://github.com/gengshan-y/rigidmask)![GitHub stars](https://img.shields.io/github/stars/gengshan-y/rigidmask.svg?logo=github&label=Stars)