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auto_painter icon auto_painter

Recently, realistic image generation using deep neural networks has become a hot topic in machine learning and computer vision. Such an image can be generated at pixel level by learning from a large collection of images. Learning to generate colorful cartoon images from black-and-white sketches is not only an interesting research problem, but also a useful application in digital entertainment. In this paper, we investigate the sketch-to-image synthesis problem by using conditional generative adversarial networks (cGAN). We propose a model called auto-painter which can automatically generate compatible colors given a sketch. Wasserstein distance is used in training cGAN to overcome model collapse and enable the model converged much better. The new model is not only capable of painting hand-draw sketch with compatible colors, but also allowing users to indicate preferred colors. Experimental results on different sketch datasets show that the auto-painter performs better than other existing image-to-image methods.

autodeeplab icon autodeeplab

Pytorch Implementation the paper Auto-DeepLab Hierarchical Neural Architecture Search for Semantic Image Segmentation

automl icon automl

AutoDeeplab / auto-deeplab / AutoML for semantic segmentation, implemented in Pytorch

autopanoptic icon autopanoptic

Implementation of NeurIPS2020 paper: Auto-Panoptic: Multi-Component Architecture Search for Panoptic Segmentation

autoportraitmatting icon autoportraitmatting

Tensorflow implementation of Automatic Portrait Matting on paper "Automatic Portrait Segmentation for Image Stylization"

avatar-net icon avatar-net

Avatar-Net: Multi-scale Zero-shot Style Transfer by Feature Decoration

avatarclip icon avatarclip

[SIGGRAPH 2022 Journal Track] AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars

avsl icon avsl

[CVPR 2022] Official PyTorch implementation for Attributable Visual Similarity Learning

avvp-eccv20 icon avvp-eccv20

Unified Multisensory Perception: Weakly-Supervised Audio-Visual Video Parsing, ECCV, 2020. (Spotlight)

awesome-attention-mechanism-in-cv icon awesome-attention-mechanism-in-cv

计算机视觉中用到的注意力模块和其他即插即用模块PyTorch Implementation Collection of Attention Module and Plug&Play Module

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