Learning Energy-Based Models by Diffusion Recovery Likelihood

Overview

Learning Energy-Based Models by Diffusion Recovery Likelihood

Ruiqi Gao, Yang Song, Ben Poole, Ying Nian Wu, Diederik P. Kingma

Paper: https://arxiv.org/pdf/2012.08125

Samples generated by our model

Requirements

Experiments can be run on a single GPU or Google Cloud TPU v3-8. Requires python >= 3.5. To install dependencies:

pip install -r requirements.txt

To compute FID/inception scores, download the pre-computed statistics of datasets from: https://drive.google.com/file/d/1QOLyYHESflcdZu8CsBLZohZzC95HyukK/view?usp=sharing, unzip the file and put the folder in this repo.

Train with 1 GPU

CIFAR10
python main.py --num_res_blocks=8 --n_batch_train=256 
CelebA
python main.py --problem=celeba --num_res_blocks=6 --beta_1=0.5 --batch_size=128
LSUN church_outdoor 64x64 / LSUN bedroom 64x64
python main.py --problem=[lsun_church64/lsun_bedroom64] --batch_size=128
LSUN church_outdoor 128x128
python main.py --problem=lsun_church128 --beta_1=0.5
LSUN bedroom 128x128
python main.py --problem=lsun_bedroom128 --beta_1=0.5 --num_res_blocks=5
Compute full FID / IS scores after training on CIFAR10
python main.py --eval --num_res_blocks=8 --noise_scale=0.99 --fid_n_batch=2000

For faster training, reduce the value of num_res_blocks.

Train with Google Cloud TPU

Add --tpu=True to the above scripts for 1 GPU. Also need to set --tpu_name and --tpu_zone as shown in Google Cloud.

Pretrained models

https://drive.google.com/file/d/1eneA6T5jQIyVFLFSOrSfJvDeUJJMh9xk/view?usp=sharing

This code is for T6 setting. Will upload T1k setting soon!

Citation

If you find our work helpful to your research, please cite:

@article{gao2020learning,
  title={Learning Energy-Based Models by Diffusion Recovery Likelihood},
  author={Gao, Ruiqi and Song, Yang and Poole, Ben and Wu, Ying Nian and Kingma, Diederik P},
  journal={arXiv preprint arXiv:2012.08125},
  year={2020}
}
Owner
Ruiqi Gao
Ph.D student at [email protected]. Research interest is machine learning, computer vision and ar
Ruiqi Gao
Code reproduce for paper "Vehicle Re-identification with Viewpoint-aware Metric Learning"

VANET Code reproduce for paper "Vehicle Re-identification with Viewpoint-aware Metric Learning" Introduction This is the implementation of article VAN

EMDATA-AILAB 23 Dec 26, 2022
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

This is the Vowpal Wabbit fast online learning code. Why Vowpal Wabbit? Vowpal Wabbit is a machine learning system which pushes the frontier of machin

Vowpal Wabbit 8.1k Jan 06, 2023
Official code repository for A Simple Long-Tailed Rocognition Baseline via Vision-Language Model.

BALLAD This is the official code repository for A Simple Long-Tailed Rocognition Baseline via Vision-Language Model. Requirements Python3 Pytorch(1.7.

peng gao 42 Nov 26, 2022
Fully Adaptive Bayesian Algorithm for Data Analysis (FABADA) is a new approach of noise reduction methods. In this repository is shown the package developed for this new method based on \citepaper.

Fully Adaptive Bayesian Algorithm for Data Analysis FABADA FABADA is a novel non-parametric noise reduction technique which arise from the point of vi

18 Oct 20, 2022
Official TensorFlow code for the forthcoming paper

~ Efficient-CapsNet ~ Are you tired of over inflated and overused convolutional neural networks? You're right! It's time for CAPSULES :)

Vittorio Mazzia 203 Jan 08, 2023
A Structured Self-attentive Sentence Embedding

Structured Self-attentive sentence embeddings Implementation for the paper A Structured Self-Attentive Sentence Embedding, which was published in ICLR

Kaushal Shetty 488 Nov 28, 2022
Mscp jamf - Build compliance in jamf

mscp_jamf Build compliance in Jamf. This will build the following xml pieces to

Bob Gendler 3 Jul 25, 2022
A simple rest api serving a deep learning model that classifies human gender based on their faces. (vgg16 transfare learning)

this is a simple rest api serving a deep learning model that classifies human gender based on their faces. (vgg16 transfare learning)

crispengari 5 Dec 09, 2021
Simple transformer model for CIFAR10

CIFAR-Transformer Simple transformer model for CIFAR10. Reference: https://www.tensorflow.org/text/tutorials/transformer https://github.com/huggingfac

9 Nov 07, 2022
A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.

Reinforcement-Learning-Notebooks A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented

Pulkit Khandelwal 1k Dec 28, 2022
(CVPR2021) DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation

DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation CVPR2021(oral) [arxiv] Requirements python3.7 pytorch==

W-zx-Y 85 Dec 07, 2022
Script that attempts to force M1 macs into RGB mode when used with monitors that are defaulting to YPbPr.

fix_m1_rgb Script that attempts to force M1 macs into RGB mode when used with monitors that are defaulting to YPbPr. No warranty provided for using th

Kevin Gao 116 Jan 01, 2023
Vrcwatch - Supply the local time to VRChat as Avatar Parameters through OSC

English: README-EN.md VRCWatch VRCWatch は、VRChat 内のアバター向けに現在時刻を送信するためのプログラムです。 使

Kosaki Mezumona 17 Nov 30, 2022
Semi-supervised semantic segmentation needs strong, varied perturbations

Semi-supervised semantic segmentation using CutMix and Colour Augmentation Implementations of our papers: Semi-supervised semantic segmentation needs

146 Dec 20, 2022
Official code of "R2RNet: Low-light Image Enhancement via Real-low to Real-normal Network."

R2RNet Official code of "R2RNet: Low-light Image Enhancement via Real-low to Real-normal Network." Jiang Hai, Zhu Xuan, Ren Yang, Yutong Hao, Fengzhu

77 Dec 24, 2022
Pytorch Lightning code guideline for conferences

Deep learning project seed Use this seed to start new deep learning / ML projects. Built in setup.py Built in requirements Examples with MNIST Badges

Pytorch Lightning 1k Jan 06, 2023
RL algorithm PPO and IRL algorithm AIRL written with Tensorflow.

RL algorithm PPO and IRL algorithm AIRL written with Tensorflow. They have a parallel sampling feature in order to increase computation speed (especially in high-performance computing (HPC)).

Fangjian Li 3 Dec 28, 2021
Confidence Propagation Cluster aims to replace NMS-based methods as a better box fusion framework in 2D/3D Object detection

CP-Cluster Confidence Propagation Cluster aims to replace NMS-based methods as a better box fusion framework in 2D/3D Object detection, Instance Segme

Yichun Shen 41 Dec 08, 2022
WeakVRD-Captioning - Implementation of paper Improving Image Captioning with Better Use of Caption

WeakVRD-Captioning - Implementation of paper Improving Image Captioning with Better Use of Caption

30 Oct 28, 2022
Dashboard for the COVID19 spread

COVID-19 Data Explorer App A streamlit Dashboard for the COVID-19 spread. The app is live at: [https://covid19.cwerner.ai]. New data is queried from G

Christian Werner 22 Sep 29, 2022