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ToThePoint: Efficient Contrastive Learning of 3D Point Clouds via Recycling
[ICLR'22] [KDD'22] [IJCAI'24] Implementation of "Graph Condensation for Graph Neural Networks"
SGNet: Structure Guided Network via Gradient-Frequency Awareness for Depth Map Super-Resolution (AAAI-2024)
This is the implementation of Recycle Maxpooling Module for Point Cloud Analysis
[NeurIPS 2023] PointGPT: Auto-regressively Generative Pre-training from Point Clouds
Solo project of gkc 4I about federal learning
Official implementation of "CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding" (CVPR, 2022)
State-of-the-art, simple, fast unbounded / large-scale NeRFs.
a pytorch implement of Supervised Contrastive Learning with memory bank(queue)
a pytorch implement of Adversarially Adaptive Normalization for Single Domain Generalization
LargeKernel3D: Scaling up Kernels in 3D Sparse CNNs (CVPR 2023)
pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
Momentum contrastive learning that implemented by me~~~
PyTorch implementation of CondConv and MobileNetV2 model
Pyramid Grafting Network for One-Stage High Resolution Saliency Detection. CVPR 2022
RAW-based blind denoising, 1st place in MegCup 2022 (Team Feedback)
Official implementation of the paper "Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis" in ICLR 2021
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)
Image denoising with Bayer augmentation and neural network
ECCV2020 - Practical Deep Raw Image Denoising on Mobile Devices
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.
Python pytorch implemenration and review for the paper: DDPM - Diffusion Models Beat GANs on Image Synthesis (Machine Learning Research Paper Explained)
Official PyTorch Code and Models of "RePaint: Inpainting using Denoising Diffusion Probabilistic Models", CVPR 2022