This repo contains the code for 1D tokenizer and generator

A curated list of awesome AIGC 3D papers

[ICCV2023] Dataset Quantization

An object-oriented PyTorch implementation of NeRF (Neural Radiance Fields), encapsulated as: dataset, network, nerf_render, loss and trainer.

Lossless Training Speed Up by Unbiased Dynamic Data Pruning

Efficient Dataset Distillation by Representative Matching

Instant-ngp in pytorch+cuda trained with pytorch-lightning (high quality with high speed, with only few lines of legible code)

NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning

For NUS PhD Students and Staffs, just one click to open the research papers on Google Scholar/IEEE/ACM, etc. with this script.

This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.

A library for users to write (experiment in research) configurations in Python Dict or JSON format, read and write parameter value via dot . in code, while can read parameters from the command line…

A visual no-code/code-free web crawler/spider易采集：一个可视化浏览器自动化测试/数据采集/爬虫软件，可以无代码图形化的设计和执行爬虫任务。别名：ServiceWrapper面向Web应用的智能化服务封装系统。

可视化Bilibili本地视频XML弹幕转换ASS字幕转换器

Implementation of the "Point 4D Transformer Networks for Spatio-Temporal Modeling in Point Cloud Videos" paper.

ACM Multimedia2020 University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization 🚁 annotates 1652 buildings in 72 universities around the world.

Non-official + minimal reimplementation of HoloGAN by Nguyen-Phuoc, et al: https://arxiv.org/abs/1904.01326

Unsupervised learning of Object Landmarks through Conditional Image Generation

2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552

Retina blood vessel segmentation with a convolutional neural network

Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018

Build Graph Nets in Tensorflow

Build Graph Nets in Tensorflow

Semantic Segmentation Architectures Implemented in PyTorch

Deep Learning Toolkit for Medical Image Analysis