disentanglement_lib is an open-source library for research on learning disentangled representations.
APACHE-2.0 License
High-Resolution Image Synthesis with Latent Diffusion Models
Ongoing research training transformer models at scale
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
Disentanglement library for PyTorch
[CVPR2020] Adversarial Latent Autoencoders
Elucidating the Design Space of Diffusion-Based Generative Models (EDM)
[ICLR 2023] Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes...
Stable Diffusion web UI
[CAAI AIR'24] Bilateral Reference for High-Resolution Dichotomous Image Segmentation
StyleGAN - Official TensorFlow Implementation
[CVPR2024] DisCo: Referring Human Dance Generation in Real World
Basically SentEval with German language downstream tasks
GLM (General Language Model)