500 + ๐๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ถ๐ฎ๐น ๐๐ป๐๐ฒ๐น๐น๐ถ๐ด๐ฒ๐ป๐ฐ๐ฒ ๐ฃ๐ฟ๐ผ๐ท๐ฒ๐ฐ๐ ๐๐ถ๐๐ ๐๐ถ๐๐ต ๐ฐ๐ผ๐ฑ๐ฒ
https://github.com/ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
https://github.com/ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
GitHub
GitHub - ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code: 500 AI Machine learning Deepโฆ
500 AI Machine learning Deep learning Computer vision NLP Projects with code - ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
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Synthesizing Light Field From a Single Image with Variable MPI and Two Network Fusion
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Paper:
https://people.engr.tamu.edu/nimak/Papers/SIGAsia2020_LF/resource/SIGGRAPH_2020_Light_Field_Authors_version.pdf
Code:
https://github.com/Turmac/light_field_synthesis
Project page:
https://people.engr.tamu.edu/nimak/Papers/SIGAsia2020_LF/index.html
Dataset:
https://drive.google.com/file/d/1oHywOJAAYm8YrSH5mDubjTAwN8jrCC9y/view
https://people.engr.tamu.edu/nimak/Papers/SIGAsia2020_LF/resource/SIGGRAPH_2020_Light_Field_Authors_version.pdf
Code:
https://github.com/Turmac/light_field_synthesis
Project page:
https://people.engr.tamu.edu/nimak/Papers/SIGAsia2020_LF/index.html
Dataset:
https://drive.google.com/file/d/1oHywOJAAYm8YrSH5mDubjTAwN8jrCC9y/view
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All Open Access Papers:
https://openaccess.thecvf.com/CVPR2021
https://openaccess.thecvf.com/CVPR2021
๐6
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From Google and Waymo researchers: The self-/unsupervised revolution is near! Unsupervised optical flow model SMURF improves SOTA by 40% and beats many supervised methods such as PWC-Net and FlowNet2
๐ @computer_science_and_programming
๐ @computer_science_and_programming
๐9
SMURF: Self-Teaching Multi-Frame Unsupervised RAFT with Full-Image Warping
Paper:
https://arxiv.org/pdf/2105.07014.pdf
Video:
https://www.youtube.com/watch?v=W7NCbfZp6QE
Code:
https://github.com/google-research/google-research/tree/master/smurf
๐ @computer_science_and_programming
Paper:
https://arxiv.org/pdf/2105.07014.pdf
Video:
https://www.youtube.com/watch?v=W7NCbfZp6QE
Code:
https://github.com/google-research/google-research/tree/master/smurf
๐ @computer_science_and_programming
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A simpler design but better performance! It aims to bridge the gap between research and industrial communities.
Paper:
https://arxiv.org/pdf/2107.08430v1.pdf
Github:
https://github.com/Megvii-BaseDetection/YOLOX
๐@computer_science_and_programming
Paper:
https://arxiv.org/pdf/2107.08430v1.pdf
Github:
https://github.com/Megvii-BaseDetection/YOLOX
๐@computer_science_and_programming
๐13
Practical image restoration
Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data
๐@computer_science_and_programming
Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data
๐@computer_science_and_programming
๐12๐จโ๐ป1
Paper:
https://arxiv.org/pdf/2103.14030.pdf
Github:
https://github.com/SwinTransformer/Swin-Transformer-Object-Detection
Demo:
https://www.youtube.com/watch?v=FQVS_0Bja6o
๐@computer_science_and_programming
https://arxiv.org/pdf/2103.14030.pdf
Github:
https://github.com/SwinTransformer/Swin-Transformer-Object-Detection
Demo:
https://www.youtube.com/watch?v=FQVS_0Bja6o
๐@computer_science_and_programming
GitHub
GitHub - SwinTransformer/Swin-Transformer-Object-Detection: This is an official implementation for "Swin Transformer: Hierarchicalโฆ
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation. - SwinTransformer/S...
๐16
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Now removing, duplicating or enhancing objects in video is more realistic with the assist of AI
"We need to talk about the car in the room."
This paper: what car? ๐
"We need to talk about the car in the room."
This paper: what car? ๐
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Paper:
https://arxiv.org/pdf/2105.06993.pdf
Github:
https://github.com/erikalu/omnimatte
Project Page:
https://omnimatte.github.io/
Supplimentary material:
https://omnimatte.github.io/supplementary/index.html
Explained:
https://www.youtube.com/watch?v=lCBSGOwV-_o
๐@computer_science_and_programming
https://arxiv.org/pdf/2105.06993.pdf
Github:
https://github.com/erikalu/omnimatte
Project Page:
https://omnimatte.github.io/
Supplimentary material:
https://omnimatte.github.io/supplementary/index.html
Explained:
https://www.youtube.com/watch?v=lCBSGOwV-_o
๐@computer_science_and_programming
GitHub
GitHub - erikalu/omnimatte
Contribute to erikalu/omnimatte development by creating an account on GitHub.
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