MobileStyleGAN.pytorch VS concept-ablation

Compare MobileStyleGAN.pytorch vs concept-ablation and see what are their differences.

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MobileStyleGAN.pytorch concept-ablation
1 1
656 137
- -
0.0 6.7
about 2 years ago 4 months ago
Python Python
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

MobileStyleGAN.pytorch

Posts with mentions or reviews of MobileStyleGAN.pytorch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-13.

concept-ablation

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

What are some alternatives?

When comparing MobileStyleGAN.pytorch and concept-ablation you can also consider the following projects:

PINTO_model_zoo - A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.

RelayDiffusion - The official implementation of "Relay Diffusion: Unifying diffusion process across resolutions for image synthesis" [ICLR 2024 Spotlight]

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”.

BMSG-GAN - [MSG-GAN] Any body can GAN! Highly stable and robust architecture. Requires little to no hyperparameter tuning. Pytorch Implementation

APDrawingGAN - Code for APDrawingGAN: Generating Artistic Portrait Drawings from Face Photos with Hierarchical GANs (CVPR 2019 Oral)

DeceiveD - [NeurIPS 2021] Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data

PITI - PITI: Pretraining is All You Need for Image-to-Image Translation

HR-VITON - Official PyTorch implementation for the paper High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled Conditions (ECCV 2022).

cycle-diffusion - [ICCV 2023] A latent space for stochastic diffusion models