DeceiveD
RelayDiffusion
DeceiveD | RelayDiffusion | |
---|---|---|
1 | 1 | |
249 | 226 | |
- | 11.9% | |
0.0 | 4.7 | |
over 2 years ago | about 1 month ago | |
Python | Python | |
GNU General Public License v3.0 or later | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
DeceiveD
-
[R] Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data
github: https://github.com/endlesssora/deceived
RelayDiffusion
What are some alternatives?
pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch
concept-ablation - Ablating Concepts in Text-to-Image Diffusion Models (ICCV 2023)
ArtGAN - ArtGAN + WikiArt: This work presents a series of new approaches to improve GAN for conditional image synthesis and we name the proposed model as “ArtGAN”.
MeshDiffusion - Official implementation of "MeshDiffusion: Score-based Generative 3D Mesh Modeling" (ICLR 2023 Spotlight)
ALAE - [CVPR2020] Adversarial Latent Autoencoders
cycle-diffusion - [ICCV 2023] A latent space for stochastic diffusion models
anycost-gan - [CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing
stylegan2-pytorch - Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
MobileStyleGAN.pytorch - An official implementation of MobileStyleGAN in PyTorch