Alternatives and similar repositories for SAFNet:

Users that are interested in SAFNet are comparing it to the libraries listed below

• jokester-zzz / SSA-SC
  Implementation of IROS21 paper - "Semantic Segmentation-assisted Scene Completion for LiDAR Point Clouds"
  ☆28Updated last year
• LarsKreuzberg / 4D-StOP
  Official code for "4D-StOP: Panoptic Segmentation of 4D LiDAR using Spatio-temporal Object Proposal Generation and Aggregation"
  ☆24Updated 2 years ago
• ZhangYushan3 / GMSF
  [NeurIPS 2023] GMSF: Global Matching Scene Flow
  ☆41Updated 11 months ago
• jike5 / LATITUDE
  ☆48Updated last year
• AlibabaResearch / rcp
  ☆25Updated 2 years ago
• pengsongyou / lseg_feature_extraction
  ☆39Updated last year
• lmomoy / CHNet
  A Concise but High-performing Network for Image Guided Depth Completion in Autonomous Driving
  ☆16Updated 8 months ago
• xingy038 / DS-Depth
  ☆23Updated last year
• JeffWang987 / MOVEDepth
  [AAAI 2023] MOVEDepth: Crafting Monocular Cues and Velocity Guidance for Self-Supervised Multi-Frame Depth Learning
  ☆61Updated 2 years ago
• jianglongye / implicit-tracking
  Online Adaptation for Implicit Object Tracking and Shape Reconstruction in the Wild, RA-L 2022
  ☆31Updated 7 months ago
• multimodallearning / flownet3d.pytorch
  PyTorch Implementation of FlowNet3D (https://arxiv.org/pdf/1806.01411.pdf)
  ☆14Updated 5 years ago
• charlesCXK / TorchSSC
  Implement some state-of-the-art methods of Semantic Scene Completion (SSC) task in PyTorch. [1] 3D Sketch-aware Se…
  ☆62Updated 2 years ago
• Robertwyq / LSMOL
  [NeurIPS 2022] 4D Unsupervised Object Discovery
  ☆55Updated last year
• alexklwong / learning-topology-synthetic-data
  Tensorflow implementation of Learning Topology from Synthetic Data for Unsupervised Depth Completion (RAL 2021 & ICRA 2021)
  ☆36Updated last year
• IRMVLab / DELFlow
  [ICCV 2023] DELFlow: Dense Efficient Learning of Scene Flow for Large-Scale Point Clouds
  ☆12Updated 10 months ago
• fudan-zvg / PARTNER
  [ICCV 2023] PARTNER: Level up the Polar Representation for LiDAR 3D Object Detection
  ☆17Updated 6 months ago
• IRMVLab / 3DFlow
  Codes for ECCV2022 paper "What matters in supervised 3D scene flow"
  ☆43Updated 2 years ago
• itailang / SCOOP
  Self-Supervised Correspondence and Optimization-Based Scene Flow (CVPR 2023)
  ☆60Updated last year
• brandleyzhou / SUB-Depth
  [arVix 2021] "SUB-Depth: Self-distillation and Uncertainty Boosting Self-supervised Monocular Depth Estimation"
  ☆16Updated 2 years ago
• Crane-YU / rethink_rotation
  [AAAI 2023] Rethinking Rotation Invariance with Point Cloud Registration (official pytorch implementation) https://rotation3d.github.io/
  ☆28Updated 2 years ago
• Xiangxu-0103 / SuperFlow
  [ECCV 2024] 4D Contrastive Superflows are Dense 3D Representation Learners
  ☆42Updated last month
• leolyj / DsCML
  This is the code related to "Sparse-to-dense Feature Matching: Intra and Inter domain Cross-modal Learning in Domain Adaptation for 3D Se…
  ☆48Updated 3 years ago
• ccc870206 / 3D-PL
  [ECCV2022] 3D-PL: Domain Adaptive Depth Estimation with 3D-aware Pseudo-Labeling
  ☆17Updated 2 years ago
• AlexSunNik / ReDC
  [IROS 2023] Revisiting Deformable Convolution for Depth Completion
  ☆10Updated last year
• kazuto1011 / dusty-gan-v2
  Generative Range Imaging for Learning Scene Priors of 3D LiDAR Data (WACV 2023)
  ☆20Updated 11 months ago
• zyrant / SPGroup3D
  [AAAI 2024] SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection
  ☆39Updated 10 months ago
• lilin-hitcrt / BEVNet
  ☆13Updated last year
• Jabb0 / FastFlow3D
  Implementation of the FastFlow3D architecture for scene flow estimation from LiDAR point clouds in PyTorch using PyTorch Lightning.
  ☆34Updated 2 years ago
• Boyiliee / LLaDA-AV
  Driving Everywhere with Large Language Model Policy Adaptation
  ☆12Updated 7 months ago
• KangchengLiu / FAC_Foreground_Aware_Contrast
  [CVPR 2023] 3D Representation Learning via Foreground Aware Feature Contrast
  ☆42Updated 10 months ago