Ingrid725 / Loss-function-summaryLinks
☆35Updated 4 years ago
Alternatives and similar repositories for Loss-function-summary
Users that are interested in Loss-function-summary are comparing it to the libraries listed below
Sorting:
- a thin wrapper of chatgpt for improving paper writing.☆253Updated 2 years ago
- [Preprint 2022] “Can We Solve 3D Vision Tasks Starting from A 2D Vision Transformer?” by Yi Wang, Zhiwen Fan, Tianlong Chen, Hehe Fan, Zh…☆63Updated 2 years ago
- Get the papers you want from ArXiv every weekday.☆24Updated 2 years ago
- PyTorch implementation of the classical optical flow visualization by Baker et al. [ICCV 2007].☆39Updated 3 years ago
- ☆25Updated 3 years ago
- (AAAI2024) Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models☆57Updated last year
- [NeurIPS2023] Implementation of the paper: Explore In-Context Learning for 3D Point Cloud Understanding☆72Updated last year
- Using Segment-Anything and CLIP to generate pixel-aligned semantic features.☆41Updated 2 years ago
- Official implementation for [3DV 2024] `Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud Understanding`☆47Updated last year
- [ECCV 2022] Masked Discrimination for Self-Supervised Learning on Point Clouds☆95Updated 3 years ago
- INS-Conv: Incremental Sparse Convolution for Online 3D Segmentation (CVPR 2022)☆61Updated 3 years ago
- [NeurIPS 2023] GMSF: Global Matching Scene Flow☆44Updated last year
- PyTorch Implementation of FlowNet3D (https://arxiv.org/pdf/1806.01411.pdf)☆15Updated 6 years ago
- (CVPR 2023) MarS3D: A Plug-and-Play Motion-Aware Model for Semantic Segmentation on Multi-Scan 3D Point Clouds☆68Updated 2 years ago
- [ICCV 2023] Learning Fine-Grained Features for Pixel-wise Video Correspondences☆18Updated last year
- [NeurIPS 2023] VPP: Efficient Conditional 3D Generation via Voxel-Point Progressive Representation☆37Updated last year
- Seg-Level Label Annotator☆25Updated 3 years ago
- [NeurIPS 2024] DiffSF: Diffusion Models for Scene Flow Estimation☆29Updated last year
- [ICML 2023] Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining☆150Updated last year
- The codes for RFNet: Recurrent Forward Network for Dense Point Cloud Completion☆20Updated 3 years ago
- a point cloud renderer based on mitsuba3☆41Updated 2 years ago
- ETHSeg: An Amodel Instance Segmentation Network and a Real-world Dataset for X-Ray Waste Inspection (CVPR2022）☆15Updated 2 years ago
- ☆39Updated last year
- [ICLR 2023] Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?☆103Updated last year
- Jittor implementation of Graph Convlution Networks☆17Updated 4 years ago
- 4DContrast: Contrastive Learning with Dynamic Correspondences for 3D Scene Understanding, ECCV 2022☆17Updated 3 years ago
- Code for Visual Sound Localization in the Wild by Cross-Modal Interference Erasing (AAAI 2022).☆29Updated 3 years ago
- ☆49Updated 2 years ago
- [NeurIPS 2022 Spotlight] P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting☆131Updated 2 years ago
- Official implementation of "Can Language Understand Depth?"☆83Updated 3 years ago