transfiner VS Restormer

Compare transfiner vs Restormer and see what are their differences.

Restormer

[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring. (by swz30)
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transfiner Restormer
3 3
516 1,537
2.3% -
0.0 3.8
over 1 year ago 11 days ago
Python Python
Apache License 2.0 GNU General Public License v3.0 or later
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.

transfiner

Posts with mentions or reviews of transfiner. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-07-25.

Restormer

Posts with mentions or reviews of Restormer. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-05.

What are some alternatives?

When comparing transfiner and Restormer you can also consider the following projects:

DAD-3DHeads - Official repo for DAD-3DHeads: A Large-scale Dense, Accurate and Diverse Dataset for 3D Head Alignment from a Single Image (CVPR 2022).

SwinIR - SwinIR: Image Restoration Using Swin Transformer (official repository)

RefineMask - RefineMask: Towards High-Quality Instance Segmentation with Fine-Grained Features (CVPR 2021)

maxim-pytorch - [CVPR 2022 Oral] PyTorch re-implementation for "MAXIM: Multi-Axis MLP for Image Processing", with *training code*. Official Jax repo: https://github.com/google-research/maxim

DeepViewAgg - [CVPR'22 Best Paper Finalist] Official PyTorch implementation of the method presented in "Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation"

NAFNet - The state-of-the-art image restoration model without nonlinear activation functions.

Efficient-AI-Backbones - Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

HRNet-Semantic-Segmentation - The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

XMem - [ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model

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

mmdetection - OpenMMLab Detection Toolbox and Benchmark

DirectVoxGO - Direct voxel grid optimization for fast radiance field reconstruction.