ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1606.03498
  4. Cited By
Improved Techniques for Training GANs

Improved Techniques for Training GANs

10 June 2016
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
    GAN
ArXiv (abs)PDFHTML

Papers citing "Improved Techniques for Training GANs"

50 / 4,324 papers shown
Title
FlowDCN: Exploring DCN-like Architectures for Fast Image Generation with
  Arbitrary Resolution
FlowDCN: Exploring DCN-like Architectures for Fast Image Generation with Arbitrary Resolution
Shuai Wang
Zexian Li
Tianhui Song
Xubin Li
Bangyu Xiang
Bo Zheng
Liwen Wang
174
8
0
30 Oct 2024
Embedding Watermarks in Diffusion Process for Model Intellectual
  Property Protection
Embedding Watermarks in Diffusion Process for Model Intellectual Property Protection
Jijia Yang
Sen Peng
Xiaohua Jia
WIGM
218
0
0
29 Oct 2024
PACA: Perspective-Aware Cross-Attention Representation for Zero-Shot
  Scene Rearrangement
PACA: Perspective-Aware Cross-Attention Representation for Zero-Shot Scene RearrangementIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Shutong Jin
Ruiyu Wang
Kuangyi Chen
Florian T. Pokorny
178
0
0
29 Oct 2024
GRADE: Quantifying Sample Diversity in Text-to-Image Models
GRADE: Quantifying Sample Diversity in Text-to-Image Models
Royi Rassin
Aviv Slobodkin
Shauli Ravfogel
Yanai Elazar
Yoav Goldberg
793
6
0
29 Oct 2024
BLAST: Block-Level Adaptive Structured Matrices for Efficient Deep
  Neural Network Inference
BLAST: Block-Level Adaptive Structured Matrices for Efficient Deep Neural Network InferenceNeural Information Processing Systems (NeurIPS), 2024
Changwoo Lee
Soo Min Kwon
Qing Qu
Hun-Seok Kim
213
1
0
28 Oct 2024
Reconstructing dynamics from sparse observations with no training on
  target system
Reconstructing dynamics from sparse observations with no training on target system
Zheng-Meng Zhai
Jun-Yin Huang
Benjamin D. Stern
Y. Lai
188
2
0
28 Oct 2024
Generative Example-Based Explanations: Bridging the Gap between Generative Modeling and Explainability
Generative Example-Based Explanations: Bridging the Gap between Generative Modeling and Explainability
Philipp Vaeth
Alexander M. Fruehwald
Benjamin Paassen
Magda Gregorova
GAN
236
1
0
28 Oct 2024
MusicFlow: Cascaded Flow Matching for Text Guided Music Generation
MusicFlow: Cascaded Flow Matching for Text Guided Music GenerationInternational Conference on Machine Learning (ICML), 2024
K R Prajwal
Bowen Shi
Matthew Lee
Apoorv Vyas
Andros Tjandra
...
Baishan Guo
Huiyu Wang
Triantafyllos Afouras
David Kant
Wei-Ning Hsu
156
10
0
27 Oct 2024
MMM-RS: A Multi-modal, Multi-GSD, Multi-scene Remote Sensing Dataset and
  Benchmark for Text-to-Image Generation
MMM-RS: A Multi-modal, Multi-GSD, Multi-scene Remote Sensing Dataset and Benchmark for Text-to-Image GenerationNeural Information Processing Systems (NeurIPS), 2024
Jialin Luo
Yuanzhi Wang
Ziqi Gu
Yide Qiu
Shuaizhen Yao
Fuyun Wang
Chunyan Xu
Wenhua Zhang
Dan Wang
Zhen Cui
DiffM
117
9
0
26 Oct 2024
FreCaS: Efficient Higher-Resolution Image Generation via Frequency-aware Cascaded Sampling
FreCaS: Efficient Higher-Resolution Image Generation via Frequency-aware Cascaded SamplingInternational Conference on Learning Representations (ICLR), 2024
Zhengqiang Zhang
Ruihuang Li
Lei Zhang
329
7
0
24 Oct 2024
Optical Generative Models
Optical Generative ModelsNature (Nature), 2024
Shiqi Chen
Yuhang Li
Hanlong Chen
Aydogan Ozcan
VLM
163
15
0
23 Oct 2024
Deep Generative Models for 3D Medical Image Synthesis
Deep Generative Models for 3D Medical Image Synthesis
Paul Friedrich
Yannik Frisch
P. Cattin
3DVMedIm
253
12
0
23 Oct 2024
Offline Evaluation of Set-Based Text-to-Image Generation
Offline Evaluation of Set-Based Text-to-Image Generation
Negar Arabzadeh
Fernando Diaz
Junfeng He
EGVM
160
1
0
22 Oct 2024
One-Step Diffusion Distillation through Score Implicit Matching
One-Step Diffusion Distillation through Score Implicit MatchingNeural Information Processing Systems (NeurIPS), 2024
Weijian Luo
Zemin Huang
Zhengyang Geng
J. Zico Kolter
Guo-Jun Qi
DiffM
212
39
0
22 Oct 2024
Elucidating the design space of language models for image generation
Elucidating the design space of language models for image generation
Xuantong Liu
Shaozhe Hao
Xianbiao Qi
Tianyang Hu
Jun Wang
Rong Xiao
Xingtai Lv
VLM
149
6
0
21 Oct 2024
Warped Diffusion: Solving Video Inverse Problems with Image Diffusion
  Models
Warped Diffusion: Solving Video Inverse Problems with Image Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2024
Giannis Daras
Weili Nie
Karsten Kreis
A. Dimakis
Morteza Mardani
Nikola B. Kovachki
Arash Vahdat
DiffM
283
15
0
21 Oct 2024
Synergistic Dual Spatial-aware Generation of Image-to-Text and Text-to-Image
Synergistic Dual Spatial-aware Generation of Image-to-Text and Text-to-ImageNeural Information Processing Systems (NeurIPS), 2024
Yu Zhao
Hao Fei
Xiangtai Li
L. Qin
Jiayi Ji
Erik Cambria
Meishan Zhang
Hao Fei
Jianguo Wei
DiffM
214
2
0
20 Oct 2024
Adversarial Score identity Distillation: Rapidly Surpassing the Teacher
  in One Step
Adversarial Score identity Distillation: Rapidly Surpassing the Teacher in One StepInternational Conference on Learning Representations (ICLR), 2024
Mingyuan Zhou
Huangjie Zheng
Yi Gu
Zhendong Wang
Hai Huang
DiffM
422
29
0
19 Oct 2024
HiCo: Hierarchical Controllable Diffusion Model for Layout-to-image
  Generation
HiCo: Hierarchical Controllable Diffusion Model for Layout-to-image GenerationNeural Information Processing Systems (NeurIPS), 2024
Bo Cheng
Yuhang Ma
Xiaoyu Wu
Shanyuan Liu
Ao Ma
Xiaoyu Wu
Dawei Leng
Yuhui Yin
DiffM
167
32
0
18 Oct 2024
Deep Generative Models Unveil Patterns in Medical Images Through
  Vision-Language Conditioning
Deep Generative Models Unveil Patterns in Medical Images Through Vision-Language Conditioning
Xiaodan Xing
Junzhi Ning
Yang Nan
Guang Yang
MedIm
121
2
0
17 Oct 2024
FiTv2: Scalable and Improved Flexible Vision Transformer for Diffusion
  Model
FiTv2: Scalable and Improved Flexible Vision Transformer for Diffusion Model
ZiDong Wang
Zeyu Lu
Di Huang
Cai Zhou
Wanli Ouyang
and Lei Bai
241
9
0
17 Oct 2024
Unlocking the Capabilities of Masked Generative Models for Image
  Synthesis via Self-Guidance
Unlocking the Capabilities of Masked Generative Models for Image Synthesis via Self-GuidanceNeural Information Processing Systems (NeurIPS), 2024
Jiwan Hur
Dong-Jae Lee
Gyojin Han
Jaehyun Choi
Yunho Jeon
Junmo Kim
DiffM
258
4
0
17 Oct 2024
Arbitrarily-Conditioned Multi-Functional Diffusion for Multi-Physics Emulation
Arbitrarily-Conditioned Multi-Functional Diffusion for Multi-Physics Emulation
D. Long
Zhitong Xu
Guang Yang
A. Narayan
Shandian Zhe
DiffMAI4CE
314
2
0
17 Oct 2024
PAK-UCB Contextual Bandit: An Online Learning Approach to Prompt-Aware Selection of Generative Models and LLMs
PAK-UCB Contextual Bandit: An Online Learning Approach to Prompt-Aware Selection of Generative Models and LLMs
Xiaoyan Hu
Ho-fung Leung
Farzan Farnia
721
5
0
17 Oct 2024
Embedding an Ethical Mind: Aligning Text-to-Image Synthesis via
  Lightweight Value Optimization
Embedding an Ethical Mind: Aligning Text-to-Image Synthesis via Lightweight Value OptimizationACM Multimedia (MM), 2024
Xingqi Wang
Xiaoyuan Yi
Xing Xie
Jia Jia
185
4
0
16 Oct 2024
MoH: Multi-Head Attention as Mixture-of-Head Attention
MoH: Multi-Head Attention as Mixture-of-Head Attention
Peng Jin
Bo Zhu
Li Yuan
Shuicheng Yan
MoE
305
32
0
15 Oct 2024
Improving Long-Text Alignment for Text-to-Image Diffusion Models
Improving Long-Text Alignment for Text-to-Image Diffusion ModelsInternational Conference on Learning Representations (ICLR), 2024
Luping Liu
Chao Du
Tianyu Pang
Zehan Wang
Chongxuan Li
Dong Xu
VLM
247
11
0
15 Oct 2024
Customize Your Visual Autoregressive Recipe with Set Autoregressive
  Modeling
Customize Your Visual Autoregressive Recipe with Set Autoregressive Modeling
Wenze Liu
Le Zhuo
Yi Xin
Sheng Xia
Peng Gao
Xiangyu Yue
195
15
0
14 Oct 2024
How to Backdoor Consistency Models?
How to Backdoor Consistency Models?Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2024
Chengen Wang
Murat Kantarcioglu
DiffMAAML
847
1
0
14 Oct 2024
Toward Guidance-Free AR Visual Generation via Condition Contrastive
  Alignment
Toward Guidance-Free AR Visual Generation via Condition Contrastive AlignmentInternational Conference on Learning Representations (ICLR), 2024
Huayu Chen
Hang Su
Peize Sun
Jun Zhu
VLM
180
10
0
12 Oct 2024
Text-To-Image with Generative Adversarial Networks
Text-To-Image with Generative Adversarial Networks
Mehrshad Momen-Tayefeh
GAN
73
1
0
11 Oct 2024
Context-Aware Full Body Anonymization using Text-to-Image Diffusion
  Models
Context-Aware Full Body Anonymization using Text-to-Image Diffusion Models
Pascal Zwick
Kevin Roesch
Marvin Klemp
Oliver Bringmann
DiffM
149
1
0
11 Oct 2024
Score Neural Operator: A Generative Model for Learning and Generalizing
  Across Multiple Probability Distributions
Score Neural Operator: A Generative Model for Learning and Generalizing Across Multiple Probability Distributions
Xinyu Liao
Aoyang Qin
Jacob H. Seidman
Junqi Wang
Wei Wang
P. Perdikaris
DiffM
136
2
0
11 Oct 2024
Diffusion Models Need Visual Priors for Image Generation
Diffusion Models Need Visual Priors for Image Generation
Xiaoyu Yue
Zidong Wang
Zeyu Lu
S. Sun
Meng Wei
Wanli Ouyang
Junlin Wu
Luping Zhou
VLM
247
5
0
11 Oct 2024
CAS-GAN for Contrast-free Angiography Synthesis
CAS-GAN for Contrast-free Angiography SynthesisCISM Workshops (CISM), 2024
De-Xing Huang
Xiao-Hu Zhou
Mei-Jiang Gui
Xiao-Liang Xie
Shi-Qi Liu
Shuang-Yi Wang
Hao Li
Tian-Yu Xiang
Z. Hou
MedIm
228
1
0
11 Oct 2024
SceneCraft: Layout-Guided 3D Scene Generation
SceneCraft: Layout-Guided 3D Scene GenerationNeural Information Processing Systems (NeurIPS), 2024
Xiuyu Yang
Yunze Man
Jun-Kun Chen
Yu-Xiong Wang
3DV
406
26
0
11 Oct 2024
Avoiding mode collapse in diffusion models fine-tuned with reinforcement
  learning
Avoiding mode collapse in diffusion models fine-tuned with reinforcement learning
Roberto Barceló
Cristóbal Alcázar
Felipe Tobar
171
4
0
10 Oct 2024
On the Evaluation of Generative Robotic Simulations
On the Evaluation of Generative Robotic Simulations
Feng Chen
Botian Xu
Pu Hua
Peiqi Duan
Yanchao Yang
Yi Ma
Huazhe Xu
VGen
202
1
0
10 Oct 2024
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You ThinkInternational Conference on Learning Representations (ICLR), 2024
Sihyun Yu
Sangkyung Kwak
Huiwon Jang
Jongheon Jeong
Jonathan Huang
Jinwoo Shin
Saining Xie
OCL
558
267
0
09 Oct 2024
An Undetectable Watermark for Generative Image Models
An Undetectable Watermark for Generative Image ModelsIACR Cryptology ePrint Archive (IACR ePrint), 2024
Sam Gunn
Xuandong Zhao
Dawn Song
WIGM
431
43
0
09 Oct 2024
RepLDM: Reprogramming Pretrained Latent Diffusion Models for High-Quality, High-Efficiency, High-Resolution Image Generation
RepLDM: Reprogramming Pretrained Latent Diffusion Models for High-Quality, High-Efficiency, High-Resolution Image Generation
Boyuan Cao
Jiaxin Ye
Yujie Wei
Hongming Shan
238
9
0
08 Oct 2024
Restructuring Vector Quantization with the Rotation Trick
Restructuring Vector Quantization with the Rotation TrickInternational Conference on Learning Representations (ICLR), 2024
Christopher Fifty
Ronald G. Junkins
Dennis Duan
Aniketh Iger
Jerry W. Liu
Ehsan Amid
Sebastian Thrun
Christopher Ré
LLMSV
420
31
0
08 Oct 2024
Towards World Simulator: Crafting Physical Commonsense-Based Benchmark
  for Video Generation
Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation
Fanqing Meng
Jiaqi Liao
Xinyu Tan
Wenqi Shao
Quanfeng Lu
Kaipeng Zhang
Yu Cheng
Dianqi Li
Yu Qiao
Ping Luo
VGenEGVM
190
60
0
07 Oct 2024
CAR: Controllable Autoregressive Modeling for Visual Generation
CAR: Controllable Autoregressive Modeling for Visual Generation
Ziyu Yao
Jialin Li
Yifeng Zhou
Yong Liu
Xi Jiang
Chengjie Wang
Feng Zheng
Yuexian Zou
Lei Li
DiffM
280
27
0
07 Oct 2024
Dynamic Diffusion Transformer
Dynamic Diffusion TransformerInternational Conference on Learning Representations (ICLR), 2024
Wangbo Zhao
Yizeng Han
Jiasheng Tang
Kai Wang
Yibing Song
Gao Huang
Fan Wang
Yang You
245
30
0
04 Oct 2024
Images Speak Volumes: User-Centric Assessment of Image Generation for
  Accessible Communication
Images Speak Volumes: User-Centric Assessment of Image Generation for Accessible Communication
Miriam Anschütz
Tringa Sylaj
Georg Groh
99
2
0
04 Oct 2024
A Training-Free Conditional Diffusion Model for Learning Stochastic
  Dynamical Systems
A Training-Free Conditional Diffusion Model for Learning Stochastic Dynamical SystemsSIAM Journal on Scientific Computing (SISC), 2024
Yanfang Liu
Yuán Chen
Dongbin Xiu
Guannan Zhang
DiffM
234
9
0
04 Oct 2024
CaLMFlow: Volterra Flow Matching using Causal Language Models
CaLMFlow: Volterra Flow Matching using Causal Language Models
Shiyang Zhang
Daniel Levine
Ivan Vrkic
Marco Francesco Bressana
David Zhang
S. Rizvi
Yangtian Zhang
E. Zappala
David van Dijk
126
1
0
03 Oct 2024
SageAttention: Accurate 8-Bit Attention for Plug-and-play Inference Acceleration
SageAttention: Accurate 8-Bit Attention for Plug-and-play Inference AccelerationInternational Conference on Learning Representations (ICLR), 2024
Jintao Zhang
Jia Wei
Pengle Zhang
Jun-Jie Zhu
Jun Zhu
Jianfei Chen
VLMMQ
586
78
0
03 Oct 2024
Normalizing Flow-Based Metric for Image Generation
Normalizing Flow-Based Metric for Image Generation
Pranav Jeevan
Neeraj Nixon
Amit Sethi
EGVM
198
2
0
02 Oct 2024
Previous
123...101112...858687
Next