DeceiveD VS RelayDiffusion

Compare DeceiveD vs RelayDiffusion and see what are their differences.

DeceiveD

[NeurIPS 2021] Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data (by EndlessSora)

RelayDiffusion

The official implementation of "Relay Diffusion: Unifying diffusion process across resolutions for image synthesis" [ICLR 2024 Spotlight] (by THUDM)
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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
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DeceiveD

Posts with mentions or reviews of DeceiveD. We have used some of these posts to build our list of alternatives and similar projects.

RelayDiffusion

Posts with mentions or reviews of RelayDiffusion. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing DeceiveD and RelayDiffusion you can also consider the following projects:

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