disentanglement_lib is an open-source library for research on learning disentangled representations.
翻译 - disentanglement_lib是一个开源库，用于研究学习纠缠表示。
Experiments for understanding disentanglement in VAE latent representations
Domain agnostic learning with disentangled representations
A curated list of research papers related to learning disentangled representations
Implementation of "Unsupervised Domain-Specific Deblurring via Disentangled Representations"
Official PyTorch implementation of BlobGAN: Spatially Disentangled Scene Representations
Quantitative evaluation of disentangled representations
PyTorch code for CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting (ICLR 2022)
An official reimplementation of the method described in the INTERSPEECH 2021 paper - Speech Resynthesis from Discrete Disentangled Self-Supervised Representations.
Simple Tensorflow implementation of "Diverse Image-to-Image Translation via Disentangled Representations" (ECCV 2018 Oral)
Language-Agnostic SEntence Representations
翻译 - 与语言无关的句子表示
A curated list of resources on implicit neural representations.
[NeurIPS 2018] Visual Object Networks: Image Generation with Disentangled 3D Representation.
翻译 - [NeurIPS 2018]视觉对象网络：具有解散3D表示的图像生成。
Source codes for the project "Disentangled GAN for Single Image Dehazing"
Disentangled Sticky Hierarchical Dirichlet Process Hidden Markov Model
Code for Talking Face Generation by Adversarially Disentangled Audio-Visual Representation (AAAI 2019)
翻译 - 对抗性纠缠的视听表示产生人脸的代码（AAAI 2019）
[CVPR 2021] Disentangled Cycle Consistency for Highly-realistic Virtual Try-On
Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning (CVPR 2020 Oral)
Repo for learning event representations
#计算机科学#Code for Motion Representations for Articulated Animation paper
翻译 - 铰接动画纸的运动表示代码