Jun-Yan Zhu (junyanz)

junyanz

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Company: Carnegie Mellon University:

Location:Pittsburgh, PA

Home Page:https://www.cs.cmu.edu/~junyanz/

Twitter:@junyanz89

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Jun-Yan Zhu's starred repositories

self-conditioned-gan

Diverse Image Generation via Self-Conditioned GANs

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pytorch-fid

Compute FID scores with PyTorch.

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pix2latent

Code for: Transforming and Projecting Images into Class-conditional Generative Networks

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gan-compression

[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs

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ganseeing

Seeing what a GAN cannot generate. Visualizes and quantifies object classes within scenes that are outside the range of a GAN.

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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touch

The source code for our paper "Learning the signatures of the human grasp using a scalable tactile glove"

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VisGel

[CVPR 2019] Connecting Touch and Vision via Cross-Modal Prediction

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antialiased-cnns

pip install antialiased-cnns to improve stability and accuracy

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antialiased-cnns

Repository has been moved: https://github.com/adobe/antialiased-cnns

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SPADE

Semantic Image Synthesis with SPADE

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stylegan

StyleGAN - Official TensorFlow Implementation

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dataset-distillation

Dataset Distillation

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path_invariance_map_network

path invariance map network research project

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RelativePose

Extreme Relative Pose Estimation for RGB-D Scans via Scene Completion

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mosculp-demo-ui

Demo for "MoSculp: Interactive Visualization of Shape and Time"

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3D-SDN

[NeurIPS 2018] 3D-Aware Scene Manipulation via Inverse Graphics

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gandissect

Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/

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redner

Differentiable rendering without approximation.

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image-to-image-papers

๐Ÿฆ“<->๐Ÿฆ’ ๐ŸŒƒ<->๐ŸŒ† A collection of image to image papers with code (constantly updating)

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rethinking-network-pruning

Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)

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colorization-pytorch

PyTorch reimplementation of Interactive Deep Colorization

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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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cycada_release

Code to accompany ICML 2018 paper

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MUNIT

Multimodal Unsupervised Image-to-Image Translation

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Augmentor

Image augmentation library in Python for machine learning.

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semantic-segmentation-pytorch

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

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iter-reason

Code for Iterative Reasoning Paper (CVPR 2018)

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caffe64

No dependency caffe replacement

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