Deep-Exemplar-based-Video-Colorization VS StyleSwin

Compare Deep-Exemplar-based-Video-Colorization vs StyleSwin and see what are their differences.

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Deep-Exemplar-based-Video-Colorization StyleSwin
4 1
317 462
- 1.3%
0.0 0.0
over 1 year ago about 1 year ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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Deep-Exemplar-based-Video-Colorization

Posts with mentions or reviews of Deep-Exemplar-based-Video-Colorization. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-19.

StyleSwin

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

What are some alternatives?

When comparing Deep-Exemplar-based-Video-Colorization and StyleSwin you can also consider the following projects:

CycleGAN - Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs

Few-Shot-Patch-Based-Training - The official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training

pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch

mmagic - OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.

anycost-gan - [CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing

OASIS - Official implementation of the paper "You Only Need Adversarial Supervision for Semantic Image Synthesis" (ICLR 2021)

Anime2Sketch - A sketch extractor for anime/illustration.

TraVeLGAN_with_perceptual_loss - The implementation code of Thesis project which entitled "Photo-to-Emoji Transformation with TraVeLGAN and Perceptual Loss" as a final project in my master study.

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”.

HyperGAN - Composable GAN framework with api and user interface

TFill - [CVPR 2022]: Bridging Global Context Interactions for High-Fidelity Image Completion