CodeFormer VS BLIP

Compare CodeFormer vs BLIP and see what are their differences.

CodeFormer

[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer (by sczhou)

BLIP

PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation (by salesforce)
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CodeFormer BLIP
28 14
13,556 4,302
- 3.3%
2.0 0.0
about 2 months ago 7 months ago
Python Jupyter Notebook
GNU General Public License v3.0 or later BSD 3-clause "New" or "Revised" 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.

CodeFormer

Posts with mentions or reviews of CodeFormer. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-29.

BLIP

Posts with mentions or reviews of BLIP. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-26.

What are some alternatives?

When comparing CodeFormer and BLIP you can also consider the following projects:

GFPGAN - GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

CLIP - CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

stable-diffusion-webui - Stable Diffusion web UI

a-PyTorch-Tutorial-to-Image-Captioning - Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning

GPEN

virtex - [CVPR 2021] VirTex: Learning Visual Representations from Textual Annotations

Real-ESRGAN-ncnn-vulkan - NCNN implementation of Real-ESRGAN. Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.

nix-stable-diffusion - Nix-friendly fork of: Optimized Stable Diffusion modified to run on lower GPU VRAM

MidJourney-Styles-and-Keywords-Reference - A reference containing Styles and Keywords that you can use with MidJourney AI. There are also pages showing resolution comparison, image weights, and much more!

taming-transformers - Taming Transformers for High-Resolution Image Synthesis

stable-diffusion-ui - Easiest 1-click way to install and use Stable Diffusion on your computer. Provides a browser UI for generating images from text prompts and images. Just enter your text prompt, and see the generated image. [Moved to: https://github.com/easydiffusion/easydiffusion]

rtic-gcn-pytorch - Official PyTorch Implementation of RITC