Discover shaohua0116/NovelViewSynthesis-TensorFlow Open Source project

Stars
47
Rank 585,607 (Top 12 %)
Language
Python
License
MIT License
Created about 5 years ago
Updated about 5 years ago

shaohua0116

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

A TensorFlow implementation of a simple Novel View Synthesis model on ShapeNet (cars and chairs), KITTI, and Synthia.

ICLR2020-OpenReviewData

Script that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.

Jupyter Notebook

453

ICLR2019-OpenReviewData

Script that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.

Jupyter Notebook

390

Activation-Visualization-Histogram

Compare SELUs (scaled exponential linear units) with other activations on MNIST, CIFAR10, etc.

Python

381

Group-Normalization-Tensorflow

A TensorFlow implementation of Group Normalization on the task of image classification

Python

207

Multiview2Novelview

An official TensorFlow implementation of "Multi-view to Novel view: Synthesizing novel views with Self-Learned Confidence" (ECCV 2018) by Shao-Hua Sun, Minyoung Huh, Yuan-Hong Liao, Ning Zhang, and Joseph J. Lim

Python

199

awesome-program

A curated list of papers related to program synthesis, program induction, program execution, program and code repair, and programmatic reinforcement learning.

130

MMAML-Classification

An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio*, Shao-Hua Sun*, Hexiang Hu, and Joseph J. Lim

Jupyter Notebook

130

VAE-Tensorflow

A Tensorflow implementation of a Variational Autoencoder for the deep learning course at the University of Southern California (USC).

Jupyter Notebook

126

demo2program

An official TensorFlow implementation of "Neural Program Synthesis from Diverse Demonstration Videos" (ICML 2018) by Shao-Hua Sun, Hyeonwoo Noh, Sriram Somasundaram, and Joseph J. Lim

Python

101

MultiDigitMNIST

Combine multiple MNIST digits to create datasets with 100/1000 classes for few-shot learning/meta-learning

Python

DCGAN-Tensorflow

A Tensorflow implementation of Deep Convolutional Generative Adversarial Networks trained on Fashion-MNIST, CIFAR-10, etc.

Python

WGAN-GP-TensorFlow

TensorFlow implementations of Wasserstein GAN with Gradient Penalty (WGAN-GP), Least Squares GAN (LSGAN), GANs with the hinge loss.

Python

shaohua0116/NovelViewSynthesis-TensorFlow

shaohua0116

Reviews

Repository Details

More Repositories