Alternatives and similar repositories for RFNet:

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

• Tianxinhuang / PCDNet
  The codes for ECCV'22: Resolution-free Point Cloud Sampling Network with Data Distillation
  ☆17Updated 2 years ago
• Tianxinhuang / PCLossNet
  The codes for ECCV'22: Learning to Train a Point Cloud Reconstruction Network without Matching
  ☆10Updated 2 years ago
• guochengqian / Pix4Point
  Official implementation for [3DV 2024] `Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud Understanding`
  ☆47Updated 8 months ago
• A-suozhang / CodedVTR
  code of [CVPR22] CodedVTR: Codebook-based Sparse Voxel Transformer with Geometric Guidance
  ☆17Updated 2 years ago
• 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
• YBZh / MaskSurf
  Masked Surfel Prediction for Self-Supervised Point Cloud Learning
  ☆27Updated last year
• AlibabaResearch / rcp
  ☆25Updated 2 years ago
• zehuichen123 / NoiseDet
  [ICCV2023] NoiseDet: Learning from Noisy Data for Semi-Superivsed 3D Object Detection
  ☆21Updated 2 years ago
• ocNflag / point2seq
  ☆66Updated 2 years ago
• Divadi / DetMatch
  DetMatch: Two Teachers are Better Than One for Joint 2D and 3D Semi-Supervised Object Detection
  ☆36Updated last year
• wangzy22 / SemAffiNet
  [CVPR 2022] SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation
  ☆45Updated 2 years ago
• ItIsFriday / PcdSeg
  ☆11Updated 2 years ago
• CVMI-Lab / SPS-Conv
  (NeurlPS 2022) Spatial Pruned Sparse Convolution for Efficient 3D Object Detection
  ☆63Updated 2 years ago
• hwcao17 / ASAP-Net
  Code for paper "ASAP-Net: Attention and Structure Aware Point Cloud Sequence Segmentation"
  ☆29Updated 4 years ago
• WisconsinAIVision / MaskPoint
  [ECCV 2022] Masked Discrimination for Self-Supervised Learning on Point Clouds
  ☆94Updated 2 years ago
• VITA-Group / Simple3D-Former
  [Preprint 2022] “Can We Solve 3D Vision Tasks Starting from A 2D Vision Transformer?” by Yi Wang, Zhiwen Fan, Tianlong Chen, Hehe Fan, Zh…
  ☆61Updated 2 years ago
• A-suozhang / ada3d
  Code of ICCV23 paper: Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection
  ☆28Updated last year
• Xiangxu-0103 / SuperFlow
  [ECCV 2024] 4D Contrastive Superflows are Dense 3D Representation Learners
  ☆42Updated 2 months ago
• yxlao / lit
  (NeurIPS 2024) LiT: Unifying LiDAR "Languages" with LiDAR Translator
  ☆18Updated last month
• RunpeiDong / ACT
  [ICLR 2023] Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?
  ☆102Updated 8 months ago
• CVMI-Lab / DODA
  (ECCV 2022) DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Semantic Segmentation
  ☆49Updated 2 years ago
• Ghostish / ObjectCentricOccCompletion
  Official Code Release for "Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection" in NeurIPS 2…
  ☆22Updated 2 months ago
• Jun-CEN / Open-world-3D-semantic-segmentation
  [ECCV 2022] Open-world Semantic Segmentation for LIDAR Point Clouds
  ☆72Updated 2 years ago
• ccc870206 / 3D-PL
  [ECCV2022] 3D-PL: Domain Adaptive Depth Estimation with 3D-aware Pseudo-Labeling
  ☆17Updated 2 years ago
• DiT-3D / FastDiT-3D
  ☆13Updated 11 months ago
• Ivan-Tang-3D / Point-PEFT
  (AAAI2024) Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models
  ☆52Updated 9 months ago
• XiwuChen / PRA-Net
  The source code of PRA-Net.
  ☆25Updated 3 years ago
• Fayeben / ADAS
  A Simple Active-and-Adaptive Baseline for Cross-Domain 3D Semantic Segmentation
  ☆13Updated 2 years ago
• wangzy22 / TAP
  [ICCV 2023] Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models
  ☆40Updated 7 months ago
• Robertwyq / LSMOL
  [NeurIPS 2022] 4D Unsupervised Object Discovery
  ☆55Updated last year