tdanet VS TFill

Compare tdanet vs TFill and see what are their differences.

tdanet

The pytorch implementation of the paper "text-guided neural image inpainting" at MM'2020 (oral) (by idealwhite)

TFill

[CVPR 2022]: Bridging Global Context Interactions for High-Fidelity Image Completion (by lyndonzheng)
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tdanet TFill
1 2
83 154
- -
0.0 3.8
over 1 year ago 10 months ago
Python Python
- 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.

tdanet

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

TFill

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

What are some alternatives?

When comparing tdanet and TFill you can also consider the following projects:

MPRNet - [CVPR 2021] Multi-Stage Progressive Image Restoration. SOTA results for Image deblurring, deraining, and denoising.

co-mod-gan - [ICLR 2021, Spotlight] Large Scale Image Completion via Co-Modulated Generative Adversarial Networks

Implicit-Internal-Video-Inpainting - [ICCV 2021]: IIVI: Internal Video Inpainting by Implicit Long-range Propagation

StyleSwin - [CVPR 2022] StyleSwin: Transformer-based GAN for High-resolution Image Generation

the-gan-zoo - A list of all named GANs!

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

pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs

Bringing-Old-Photos-Back-to-Life - Bringing Old Photo Back to Life (CVPR 2020 oral)