Photoshop detector AI called FALDetector aims to detect facial edits that warps the faces to make chin or jaw looks thinner, or the forehead smaller. However, it is not really accurate and consistent as it look at the individual pixels too much, as different resolution of the same person can result in different predictions with this AI model.
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FALDetector:
Github:
https://github.com/peterwang512/FALdetector
Project page:
https://peterwang512.github.io/FALdetector/
Installation tutorial:
https://www.youtube.com/watch?v=fZSWAsjwQpE
Paper:
https://arxiv.org/pdf/1906.05856.pdf
Github:
https://github.com/peterwang512/FALdetector
Project page:
https://peterwang512.github.io/FALdetector/
Installation tutorial:
https://www.youtube.com/watch?v=fZSWAsjwQpE
Paper:
https://arxiv.org/pdf/1906.05856.pdf
GitHub
GitHub - PeterWang512/FALdetector: Code for the paper: Detecting Photoshopped Faces by Scripting Photoshop
Code for the paper: Detecting Photoshopped Faces by Scripting Photoshop - PeterWang512/FALdetector
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Github:
https://github.com/DirtyHarryLYL/Transferable-Interactiveness-Network
Paper:
https://arxiv.org/pdf/2101.10292v1.pdf
Human-Object Interaction Learning studies (bonus):
https://github.com/DirtyHarryLYL/HOI-Learning-List
https://github.com/DirtyHarryLYL/Transferable-Interactiveness-Network
Paper:
https://arxiv.org/pdf/2101.10292v1.pdf
Human-Object Interaction Learning studies (bonus):
https://github.com/DirtyHarryLYL/HOI-Learning-List
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Create Character Animation with small amount of data by using Generative Adversarial Network (GAN)
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Github:
https://github.com/tohinz/CharacterGAN
Paper:
https://arxiv.org/pdf/2102.03141.pdf
You can use also interactive GUI to easily repose a given character based on keypoints.
https://github.com/tohinz/CharacterGAN
Paper:
https://arxiv.org/pdf/2102.03141.pdf
You can use also interactive GUI to easily repose a given character based on keypoints.
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Github:
https://github.com/mobvoi/wenet
Paper:
https://arxiv.org/pdf/2102.01547v1.pdf
Tutorial:
https://github.com/mobvoi/wenet/blob/main/docs/tutorial.md
https://github.com/mobvoi/wenet
Paper:
https://arxiv.org/pdf/2102.01547v1.pdf
Tutorial:
https://github.com/mobvoi/wenet/blob/main/docs/tutorial.md
GitHub
GitHub - wenet-e2e/wenet: Production First and Production Ready End-to-End Speech Recognition Toolkit
Production First and Production Ready End-to-End Speech Recognition Toolkit - wenet-e2e/wenet
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"Unbiased Teacher for Semi-Supervised Object Detection" from Facebook researchers
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Blog:
https://ai.facebook.com/blog/-detectron2-a-pytorch-based-modular-object-detection-library-/
Github:
https://github.com/facebookresearch/detectron2
Documentation:
https://detectron2.readthedocs.io/en/latest/tutorials/getting_started.html
Colab tutorial:
https://colab.research.google.com/drive/16jcaJoc6bCFAQ96jDe2HwtXj7BMD_-m5#scrollTo=QHnVupBBn9eR
https://ai.facebook.com/blog/-detectron2-a-pytorch-based-modular-object-detection-library-/
Github:
https://github.com/facebookresearch/detectron2
Documentation:
https://detectron2.readthedocs.io/en/latest/tutorials/getting_started.html
Colab tutorial:
https://colab.research.google.com/drive/16jcaJoc6bCFAQ96jDe2HwtXj7BMD_-m5#scrollTo=QHnVupBBn9eR
Meta
Detectron2: A PyTorch-based modular object detection library
We are open-sourcing Detectron2, the second-generation of our widely used object-recognition platform. Detectron2 has been rewritten from the ground up in PyTorch to enable faster model iteration and deployment.
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CVPR 2021 paper
Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion (MiVOS)
Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion (MiVOS)
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Paper:
https://arxiv.org/pdf/2103.07941v1.pdf
Github:
https://github.com/hkchengrex/MiVOS
Project page:
https://hkchengrex.github.io/MiVOS/
https://arxiv.org/pdf/2103.07941v1.pdf
Github:
https://github.com/hkchengrex/MiVOS
Project page:
https://hkchengrex.github.io/MiVOS/
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YolactEdge Real time Instance Segmentation on the Edge
https://www.youtube.com/watch?v=pMDwXkIerw8
https://www.youtube.com/watch?v=pMDwXkIerw8
YouTube
YolactEdge Real time Instance Segmentation on the Edge / python tutorial / google colaboratory
@AIcoordinator
python tutorial.
YolactEdge, the first competitive instance segmentation approach that runs on small edge devices at real-time speeds. Specifically, YolactEdge runs at up to 30.8 FPS on a Jetson AGX Xavier (and 172.7 FPS on an RTX 2080 Ti)โฆ
python tutorial.
YolactEdge, the first competitive instance segmentation approach that runs on small edge devices at real-time speeds. Specifically, YolactEdge runs at up to 30.8 FPS on a Jetson AGX Xavier (and 172.7 FPS on an RTX 2080 Ti)โฆ
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Github:
https://github.com/ai-coodinator/yolact_edge
YolactEdge, competitive instance segmentation approach that runs on small edge devices at real-time speeds. Specifically, YolactEdge runs at up to 30.8 FPS on a Jetson AGX Xavier (and 172.7 FPS on an RTX 2080 Ti) with a ResNet-101 backbone on 550x550 resolution images.
https://github.com/ai-coodinator/yolact_edge
YolactEdge, competitive instance segmentation approach that runs on small edge devices at real-time speeds. Specifically, YolactEdge runs at up to 30.8 FPS on a Jetson AGX Xavier (and 172.7 FPS on an RTX 2080 Ti) with a ResNet-101 backbone on 550x550 resolution images.
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Paper:
https://arxiv.org/pdf/2104.01604v1.pdf
Github:
https://github.com/speechbrain/speechbrain/tree/develop/recipes/timers-and-such
Dataset:
https://zenodo.org/record/4623772#.YHFLkxKRWJk
https://arxiv.org/pdf/2104.01604v1.pdf
Github:
https://github.com/speechbrain/speechbrain/tree/develop/recipes/timers-and-such
Dataset:
https://zenodo.org/record/4623772#.YHFLkxKRWJk
GitHub
speechbrain/recipes/timers-and-such at develop ยท speechbrain/speechbrain
A PyTorch-based Speech Toolkit. Contribute to speechbrain/speechbrain development by creating an account on GitHub.
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a2v-demo.gif
16.1 MB
Transferable Interactiveness Knowledge forHuman-Object Interaction Detection
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