Generative Network

Generative networks are artificial neural networks designed to learn complex data distributions and generate new samples resembling the training data. Current research focuses on improving the quality and diversity of generated outputs, addressing issues like mode collapse and achieving better control over generation through techniques such as conditional generation and network bending. These advancements are driving progress in diverse fields, including image synthesis, 3D modeling, and data augmentation for tasks like anomaly detection and few-shot learning, ultimately enhancing the capabilities of various machine learning applications.

Papers

August 19, 2023

EGANS: Evolutionary Generative Adversarial Network Search for Zero-Shot Learning
Shiming Chen, Shihuang Chen, Wenjin Hou, Weiping Ding, Xinge You
Generative Adversarial Network Zero Shot Learning Generative Network

August 3, 2023

July 18, 2023

FISTNet: FusIon of STyle-path generative Networks for Facial Style Transfer
Sunder Ali Khowaja, Lewis Nkenyereye, Ghulam Mujtaba, Ik Hyun Lee, Giancarlo Fortino, Kapal Dev
Pre Trained Hybrid Fusion StyleGAN Latent Generative Network Transfer Learning Strategy Appearance Transfer

July 14, 2023

DreamTeacher: Pretraining Image Backbones with Deep Generative Models
Daiqing Li, Huan Ling, Amlan Kar, David Acuna, Seung Wook Kim, Karsten Kreis, Antonio Torralba, Sanja Fidler
Generative Model Generative Network Generative Learning Self Supervised Representation Self Supervised Feature

July 12, 2023

Diversity-enhancing Generative Network for Few-shot Hypothesis Adaptation
Ruijiang Dong, Feng Liu, Haoang Chi, Tongliang Liu, Mingming Gong, Gang Niu, Masashi Sugiyama, Bo Han
Unlabeled Data Generative Network Source Domain Shot Adaptation Generative Diversity

July 9, 2023

Large-scale global optimization of ultra-high dimensional non-convex landscapes based on generative neural networks
Jiaqi Jiang, Jonathan A. Fan
Deep Learning Architecture Global Optimization Generative Network Non Convex Optimization Generative Neural Network Non Convex Optimization Problem Non Convex Landscape

July 8, 2023

StyleGAN3: Generative Networks for Improving the Equivariance of Translation and Rotation
Tianlei Zhu, Junqi Chen, Renzhe Zhu, Gaurav Gupta
View Translation StyleGAN Latent Inter Part Equivariance Generative Network Rotation Angle Recent StyleGAN3 Architecture

July 4, 2023

Stability Analysis Framework for Particle-based Distance GANs with Wasserstein Gradient Flow
Chuqi Chen, Yue Wu, Yang Xiang
GAN Model C Gan Generative Network Stability Analysis Wasserstein Gradient Flow Density Evolution

May 30, 2023

HiGen: Hierarchical Graph Generative Networks
Mahdi Karami
Graph Generation Generative Network Network Community Hierarchical Graph

May 25, 2023

How to Turn Your Knowledge Graph Embeddings into Generative Models
Lorenzo Loconte, Nicola Di Mauro, Robert Peharz, Antonio Vergari
Generative Model Link Prediction Knowledge Graph Embeddings Generative Network Computational Graph Marginalization Model

May 24, 2023

Multi-Abstractive Neural Controller: An Efficient Hierarchical Control Architecture for Interactive Driving
Xiao Li, Igor Gilitschenski, Guy Rosman, Sertac Karaman, Daniela Rus
Neural Network Controller Generative Network Hierarchical Control Behavior Planning Interactive Driving

May 22, 2023

LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On
Davide Morelli, Alberto Baldrati, Giuseppe Cartella, Marcella Cornia, Marco Bertini, Rita Cucchiara
Generative Model Latent Diffusion Model Virtual Try Generative Network Latent Inversion

May 16, 2023

DualGenerator: Information Interaction-based Generative Network for Point Cloud Completion
Pengcheng Shi, Haozhe Cheng, Xu Han, Yiyang Zhou, Jihua Zhu
Full Information Point Cloud Completion Generative Network Incomplete Point Cloud Dual Path Transformer Path Dependent

April 20, 2023

eTag: Class-Incremental Learning with Embedding Distillation and Task-Oriented Generation
Libo Huang, Yan Zeng, Chuanguang Yang, Zhulin An, Boyu Diao, Yongjun Xu
Catastrophic Forgetting Class Incremental Learning Mutual Distillation Generation Task Generative Network Incremental Classifier

March 15, 2023

Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection
Cosmin I Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A Schnabel
Anomaly Detection Generative Network Anomaly Segmentation Evident Abnormality

February 25, 2023

On Deep Generative Models for Approximation and Estimation of Distributions on Manifolds
Biraj Dahal, Alex Havrilla, Minshuo Chen, Tuo Zhao, Wenjing Liao
High Dimensional Estimation Task Average Approximation Class Manifold Low Dimensional Manifold Generative Network Wasserstein Gradient Low Dimensional Structure

January 25, 2023

Deep Generative Neural Embeddings for High Dimensional Data Visualization
Halid Ziya Yerebakan, Gerardo Hermosillo Valadez
ImageNet Dataset Feature Embeddings Generative Network Image Embeddings Neural Network Autoencoder

January 22, 2023

Face Generation from Textual Features using Conditionally Trained Inputs to Generative Adversarial Networks
Sandeep Shinde, Tejas Pradhan, Aniket Ghorpade, Mihir Tale
Generative Adversarial Network Image Generation Face Generation Generative Network Textual Feature Facial Attribute Rich Input Generative Algorithm

December 16, 2022

An unfolding method based on conditional Invertible Neural Networks (cINN) using iterative training
Mathias Backes, Anja Butter, Monica Dunford, Bogdan Malaescu
Practical Method Generative Network Deep Unfolding Iterative Training Invertible Neural Network Conditional Invertible Neural Network

Generative Network

Papers

EGANS: Evolutionary Generative Adversarial Network Search for Zero-Shot Learning

Focus on Content not Noise: Improving Image Generation for Nuclei Segmentation by Suppressing Steganography in CycleGAN

BEVControl: Accurately Controlling Street-view Elements with Multi-perspective Consistency via BEV Sketch Layout

FISTNet: FusIon of STyle-path generative Networks for Facial Style Transfer

DreamTeacher: Pretraining Image Backbones with Deep Generative Models

Diversity-enhancing Generative Network for Few-shot Hypothesis Adaptation

Large-scale global optimization of ultra-high dimensional non-convex landscapes based on generative neural networks

StyleGAN3: Generative Networks for Improving the Equivariance of Translation and Rotation

Stability Analysis Framework for Particle-based Distance GANs with Wasserstein Gradient Flow

HiGen: Hierarchical Graph Generative Networks

How to Turn Your Knowledge Graph Embeddings into Generative Models

Multi-Abstractive Neural Controller: An Efficient Hierarchical Control Architecture for Interactive Driving

LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On

DualGenerator: Information Interaction-based Generative Network for Point Cloud Completion

eTag: Class-Incremental Learning with Embedding Distillation and Task-Oriented Generation

Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection

On Deep Generative Models for Approximation and Estimation of Distributions on Manifolds

Deep Generative Neural Embeddings for High Dimensional Data Visualization

Face Generation from Textual Features using Conditionally Trained Inputs to Generative Adversarial Networks

An unfolding method based on conditional Invertible Neural Networks (cINN) using iterative training