NguyenTriTrinh's repositories

ACGPN

"Towards Photo-Realistic Virtual Try-On by Adaptively Generating↔Preserving Image Content",CVPR 2020. (Modified from original with fixes for inference)

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baseAdapter

Android 万能的Adapter for ListView,RecyclerView,GridView等,支持多种Item类型的情况。

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caffe

Caffe: a fast open framework for deep learning.

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caffe_ssl

caffe for Self-supervised Structure-sensitive Learning, CVPR'17

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CIHP_PGN

Code repository for Part Grouping Network, ECCV 2018

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Circle-of-friends

类似微信朋友圈QQ空间,也可用做商品评价或者其他需要图文展示的列表

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clothing-co-parsing

CCP dataset from "Clothing Co-Parsing by Joint Image Segmentation and Labeling " (CVPR 2014)

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CountDownButton

倒计时按钮

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cp-vton

Reimplemented code for "Toward Characteristic-Preserving Image-based Virtual Try-On Network"

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forknet

[ICCV'19] Adversarial Semantic Scene Completion from a Single Depth Image

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instagan

PyTorch implementation of "InstaGAN: Instance-aware Image Translation" (ICLR 2019)

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java-code-styles

IntelliJ IDEA code style settings for Square's Java and Android projects.

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LIP_SSL

Code repository for Self-supervised Structure-sensitive Learning, CVPR'17

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models

Models and examples built with TensorFlow

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PhotoPicker

Image Picker like Wechat

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pifuhd

High-Resolution 3D Human Digitization from A Single Image.

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pix2pixHD

Synthesizing and manipulating 2048x1024 images with conditional GANs

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python-pcl

Python bindings to the pointcloud library (pcl)

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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pytorch-CycleGAN-and-pix2pix

Image-to-Image Translation in PyTorch

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Realtime_Multi-Person_Pose_Estimation

Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)

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SGC-Release

Implementation of our ECCV 2018 paper "Efficient Semantic Scene Completion Network with Spatial Group Convolution"

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siamese-fc

Arbitrary object tracking at 50-100 FPS with Fully Convolutional Siamese networks.

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SparseConvNet

Submanifold sparse convolutional networks

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tutorial

Original tutorials, share innocently, download free. 原创教程,分享无罪,下载免费。

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vid2vid

Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.

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