PatchFusion VS InSPyReNet

Compare PatchFusion vs InSPyReNet and see what are their differences.

PatchFusion

[CVPR 2024] An End-to-End Tile-Based Framework for High-Resolution Monocular Metric Depth Estimation (by zhyever)

InSPyReNet

Official PyTorch implementation of Revisiting Image Pyramid Structure for High Resolution Salient Object Detection (ACCV 2022) (by plemeri)
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PatchFusion InSPyReNet
1 1
896 303
- -
6.0 3.8
about 2 months ago 4 months 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.
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.

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.

InSPyReNet

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

What are some alternatives?

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

sd-webui-controlnet - WebUI extension for ControlNet

transparent-background - This is a background removing tool powered by InSPyReNet (ACCV 2022)

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

yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

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

stable-diffusion-webui - Stable Diffusion web UI

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.

Real-Time-Voice-Cloning - Clone a voice in 5 seconds to generate arbitrary speech in real-time

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

transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

pytorch-tutorial - PyTorch Tutorial for Deep Learning Researchers