Lyccl

Lyccl's Stars

• YoungJackson/learn_superpoint_transformer

  Study SPT

  Language:Python1

• ExponentiAI/ToThePoint

  Language:Python1

• Lyccl/Tothepoint

  ToThePoint: Efficient Contrastive Learning of 3D Point Clouds via Recycling

  4

• ChandlerBang/GCond

  [ICLR'22] [KDD'22] [IJCAI'24] Implementation of "Graph Condensation for Graph Neural Networks"

  Language:Python12116

• yanzq95/SGNet

  SGNet: Structure Guided Network via Gradient-Frequency Awareness for Depth Map Super-Resolution (AAAI-2024)

  Language:Python973

• jiajingchen113322/ViewNet

  This is the implementation of ViewNet

  Language:Python11

• jiajingchen113322/Recycle_Maxpooling_Module

  This is the implementation of Recycle Maxpooling Module for Point Cloud Analysis

  Language:Python183

• CGuangyan-BIT/PointGPT

  [NeurIPS 2023] PointGPT: Auto-regressively Generative Pre-training from Point Clouds

  Language:Python18820

• Lyccl/RGLT

  Language:Python10

• Otsuts/TCP-socket-based-FL-

  Solo project of gkc 4I about federal learning

  Language:Python1

• SHEERANER/Modelzoo_centermask_pytorch

  Language:Python5

• MohamedAfham/CrossPoint

  Official implementation of "CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding" (CVPR, 2022)

  Language:Python23728

• sjtuytc/UnboundedNeRFPytorch

  State-of-the-art, simple, fast unbounded / large-scale NeRFs.

  Language:Python1.3k119

• huanranchen/SupContrast

  a pytorch implement of Supervised Contrastive Learning with memory bank(queue)

  Language:Python14

• huanranchen/NICO-2022

  Implement the dataloader

  Language:Python4

• huanranchen/ASRNorm

  a pytorch implement of Adversarially Adaptive Normalization for Single Domain Generalization

  Language:Python121

• dvlab-research/LargeKernel3D

  LargeKernel3D: Scaling up Kernels in 3D Sparse CNNs (CVPR 2023)

  Language:Python1968

• fxia22/pointnet.pytorch

  pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593

  Language:Python2.1k631

• huanranchen/MOCO

  Momentum contrastive learning that implemented by me~~~

  Language:Jupyter Notebook3

• d-li14/condconv.pytorch

  PyTorch implementation of CondConv and MobileNetV2 model

  Language:Python356

• iCVTEAM/PGNet

  Pyramid Grafting Network for One-Stage High Resolution Saliency Detection. CVPR 2022

  Language:Python16421

• hlh981029/megcup-feedback

  RAW-based blind denoising, 1st place in MegCup 2022 (Team Feedback)

  Language:Python412

• odegeasslbc/FastGAN-pytorch

  Official implementation of the paper "Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis" in ICLR 2021

  Language:Python601100

• zhmou/WGAN-GradientPenalty

  A Pytorch implementation demo for WGAN-GP in order to generate handwritten digits(MNIST dataset) Pytorch构建WGAN-GP网络实现手写数字生成(MNIST数据集)

  Language:Python3

• SuperbTUM/RAW-image-denoising

  Image denoising with Bayer augmentation and neural network

  Language:Python202

• MegEngine/PMRID

  ECCV2020 - Practical Deep Raw Image Denoising on Mobile Devices

  Language:Python22236

• zigangzhao-ai/zte_img_denoise

  a contest about image denoising

  Language:Python342

• google-research/kubric

  A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.

  Language:Jupyter Notebook2.3k228

• Oushesh/Diffusion_Beats_GAN

  Python pytorch implemenration and review for the paper: DDPM - Diffusion Models Beat GANs on Image Synthesis (Machine Learning Research Paper Explained)

  31

• andreas128/RePaint

  Official PyTorch Code and Models of "RePaint: Inpainting using Denoising Diffusion Probabilistic Models", CVPR 2022

  Language:Python2k161