Contact me @ vijishmadhavan@gmail.com
ArtLine. A Deep Learning based project for creating line art portraits.
3.6kSkinDeep. Get Deinked!!
957UnpromptedControl. Remove unwanted objects and restore images without prompts, powered by ControlNet.
490Toon-Me. A Deep Learning project to Toon Portrait Images
388Crop-CLIP. Crop using CLIP
338Chehara-GAN. Simple चेहरा(face) restoration
147Light-Up. Low-Light Image Enhancement
73PoPd. PoP ArT
21APDrawingGAN. Code for APDrawingGAN: Generating Artistic Portrait Drawings from Face Photos with Hierarchical GANs (CVPR 2019 Oral)
4DeOldify. A Deep Learning based project for colorizing and restoring old images (and video!)
4Propportrait. Is it a perfect portrait!
4Auto-Head-Swap. Head Swap
3PARSE-CLIP. A simple CLIP based project for combining images from multiple datasets.
3ControlNetInpaint. Inpaint images with ControlNet
2pyxelate. Python class that generates pixel art from images
1Palette. Detects primary object, outlines it with polyline and generates color palette.
1OOS. "Out of Sight" is an innovative project aimed at producing high-quality product photos with a seamless and professional appearance.
1Multi_object. Trying out Detectron2
1FacePose_pytorch. 🔥🔥The pytorch implement of the head pose estimation(yaw,roll,pitch) and emotion detection with SOTA performance in real time.Easy to deploy, easy to use, and high accuracy.Solve all problems of face detection at one time.(极简,极快,高效是我们的宗旨)
1nsfw-nt.github.io. nsfw-nt.github.io
1capsule-render. :rainbow: Decorate Dynamic GitHub Profile !!
1ArcaneGAN. ArcaneGAN
1EyeKey. Eye blink keyboard
1TweakStory. Deployment repo for the trained stylised-controllable-image-captioning model.
1Tele. Telecom case study
1colorls. A Ruby gem that beautifies the terminal's ls command, with color and font-awesome icons. :tada:
1team-classification. Python
1ISO-3166-Countries-with-Regional-Codes. ISO 3166-1 country lists merged with their UN Geoscheme regional codes in ready-to-use JSON, XML, CSV data sets
1exposure. Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.
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