dancharters Goto Github PK
Name: Daniel Charters
Type: User
Name: Daniel Charters
Type: User
"Towards Photo-Realistic Virtual Try-On by Adaptively Generating↔Preserving Image Content",CVPR 2020. (Modified from original with fixes for inference)
Code repository for Part Grouping Network, ECCV 2018
[ICCV 2021] Image Inpainting via Conditional Texture and Structure Dual Generation
DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral
Official PyTorch implementation for the paper High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled Conditions (ECCV 2022).
High-resolution virtual try-on with garment extraction using Generative Adversarial Networks
Image Inpainting via Generative Multi-column Convolutional Neural Networks, NeurIPS2018
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
MAT: Mask-Aware Transformer for Large Hole Image Inpainting
A New Padding Scheme: Partial Convolution based Padding
Part Grouping Network (PGN) implementation in TensorFlow, for custom parsing dataset
Image-to-image translation with conditional adversarial nets
Official PyTorch Code and Models of "RePaint: Inpainting using Denoising Diffusion Probabilistic Models", CVPR 2022
Semantic Image Synthesis with SPADE
Code for Context-Aware Image Inpainting with Learned Semantic Priors,
TryOnGAN: Unofficial Implementation
Code and dataset for paper "VITON: An Image-based Virtual Try-on Network"
Official PyTorch implementation of "VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization" (CVPR 2021)
A curated list of awesome research papers, projects, code, dataset, workshops etc. related to virtual try-on.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
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Bring data to life with SVG, Canvas and HTML. 📊📈🎉
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Some thing interesting about web. New door for the world.
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Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.