Restormer VS PatchFusion

Compare Restormer vs PatchFusion 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)
image-restoration image-deraining image-deblurring defocus-deblurring motion-deblurring Transformer Pytorch low-level-vision cvpr2022 high-resolution efficient-transformers
Source Code
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PatchFusion

[CVPR 2024] An End-to-End Tile-Based Framework for High-Resolution Monocular Metric Depth Estimation (by zhyever)
depth-estimation high-resolution
Source Code
zhyever.github.io
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Restormer PatchFusion
3 1
1,554 895
- -
3.8 6.0
24 days ago about 1 month ago
Python Python
GNU General Public License v3.0 or later 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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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.

PatchFusion

Posts with mentions or reviews of PatchFusion. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-09.

What are some alternatives?

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

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

InSPyReNet - Official PyTorch implementation of Revisiting Image Pyramid Structure for High Resolution Salient Object Detection (ACCV 2022)

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

sd-webui-controlnet - WebUI extension for ControlNet

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

Marigold - [CVPR 2024 - Oral] Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation

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

depth_map_to_stl - Batch converts black and white depth maps to STL files

transfiner - Mask Transfiner for High-Quality Instance Segmentation, CVPR 2022

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

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

Restormer vs SwinIR PatchFusion vs InSPyReNet Restormer vs maxim-pytorch PatchFusion vs sd-webui-controlnet Restormer vs NAFNet PatchFusion vs Marigold Restormer vs HRNet-Semantic-Segmentation PatchFusion vs depth_map_to_stl Restormer vs transfiner PatchFusion vs HRNet-Semantic-Segmentation Restormer vs MPRNet Restormer vs DirectVoxGO