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Large Scale GAN Training for High Fidelity Natural Image Synthesis
v1v2 (latest)

Large Scale GAN Training for High Fidelity Natural Image Synthesis

International Conference on Learning Representations (ICLR), 2018
28 September 2018
Andrew Brock
Jeff Donahue
Karen Simonyan
ArXiv (abs)PDFHTML

Papers citing "Large Scale GAN Training for High Fidelity Natural Image Synthesis"

50 / 3,196 papers shown
st-DTPM: Spatial-Temporal Guided Diffusion Transformer Probabilistic
  Model for Delayed Scan PET Image Prediction
st-DTPM: Spatial-Temporal Guided Diffusion Transformer Probabilistic Model for Delayed Scan PET Image Prediction
Ran Hong
Yuxia Huang
Lei Liu
Zhonghui Wu
Bingxuan Li
X. Wang
Qiegen Liu
MedIm
182
1
0
30 Oct 2024
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
194
9
0
30 Oct 2024
Power side-channel leakage localization through adversarial training of
  deep neural networks
Power side-channel leakage localization through adversarial training of deep neural networks
Jimmy Gammell
A. Raghunathan
Kaushik Roy
AAML
261
0
0
29 Oct 2024
Unsupervised Modality Adaptation with Text-to-Image Diffusion Models for
  Semantic Segmentation
Unsupervised Modality Adaptation with Text-to-Image Diffusion Models for Semantic SegmentationNeural Information Processing Systems (NeurIPS), 2024
Ruihao Xia
Yu Liang
Peng-Tao Jiang
Hao Zhang
Yue Liu
Yang Tang
Pan Zhou
DiffMVLM
262
4
0
29 Oct 2024
Kandinsky 3: Text-to-Image Synthesis for Multifunctional Generative
  Framework
Kandinsky 3: Text-to-Image Synthesis for Multifunctional Generative FrameworkConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
V. Arkhipkin
Viacheslav Vasilev
Andrei Filatov
Igor Pavlov
Ilya Vasiliev
...
Evelina Mironova
Anton Bukashkin
Konstantin Kulikov
Andrey Kuznetsov
Denis Dimitrov
DiffM
205
20
0
28 Oct 2024
Scaling-based Data Augmentation for Generative Models and its
  Theoretical Extension
Scaling-based Data Augmentation for Generative Models and its Theoretical Extension
Yoshitaka Koike
Takumi Nakagawa
Hiroki Waida
Takafumi Kanamori
DiffM
324
0
0
28 Oct 2024
A Statistical Analysis of Deep Federated Learning for Intrinsically Low-dimensional Data
A Statistical Analysis of Deep Federated Learning for Intrinsically Low-dimensional Data
Saptarshi Chakraborty
Peter L. Bartlett
FedML
350
1
0
28 Oct 2024
Flow Generator Matching
Flow Generator Matching
Zemin Huang
Zhengyang Geng
Weijian Luo
Guo-Jun Qi
460
20
0
25 Oct 2024
Neural Cover Selection for Image Steganography
Neural Cover Selection for Image SteganographyNeural Information Processing Systems (NeurIPS), 2024
Karl Chahine
Hyeji Kim
DiffM
302
1
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
301
18
0
23 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
279
44
0
22 Oct 2024
Training Better Deep Learning Models Using Human Saliency
Training Better Deep Learning Models Using Human Saliency
Aidan Boyd
Patrick J. Tinsley
Kevin W. Bowyer
A. Czajka
293
0
0
21 Oct 2024
Generative AI Agents in Autonomous Machines: A Safety Perspective
Generative AI Agents in Autonomous Machines: A Safety PerspectiveInternational Conference on Computer Aided Design (ICCAD), 2024
Jason J. Jabbour
Vijay Janapa Reddi
AI4CE
356
12
0
20 Oct 2024
"Confrontation or Acceptance": Understanding Novice Visual Artists'
  Perception towards AI-assisted Art Creation
"Confrontation or Acceptance": Understanding Novice Visual Artists' Perception towards AI-assisted Art Creation
Shuning Zhang
Shixuan Li
184
4
0
19 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
482
31
0
19 Oct 2024
BiGR: Harnessing Binary Latent Codes for Image Generation and Improved Visual Representation Capabilities
BiGR: Harnessing Binary Latent Codes for Image Generation and Improved Visual Representation CapabilitiesInternational Conference on Learning Representations (ICLR), 2024
Shaozhe Hao
Xuantong Liu
Xianbiao Qi
Shihao Zhao
Bojia Zi
Rong Xiao
Kai Han
Kwan-Yee K. Wong
549
4
0
18 Oct 2024
Parallel Backpropagation for Inverse of a Convolution with Application to Normalizing Flows
Parallel Backpropagation for Inverse of a Convolution with Application to Normalizing FlowsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Sandeep Nagar
Girish Varma
TPM
410
0
0
18 Oct 2024
Improving Vector-Quantized Image Modeling with Latent Consistency-Matching Diffusion
Improving Vector-Quantized Image Modeling with Latent Consistency-Matching Diffusion
Bac Nguyen
and Chieh-Hsin Lai
Yuhta Takida
Naoki Murata
Toshimitsu Uesaka
Stefano Ermon
Yuki Mitsufuji
237
0
0
18 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
289
9
0
17 Oct 2024
FAMSeC: A Few-shot-sample-based General AI-generated Image Detection
  Method
FAMSeC: A Few-shot-sample-based General AI-generated Image Detection MethodIEEE Signal Processing Letters (SPL), 2024
Juncong Xu
Yang Yang
Han Fang
Honggu Liu
Weiming Zhang
282
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
289
4
0
17 Oct 2024
Stabilize the Latent Space for Image Autoregressive Modeling: A Unified
  Perspective
Stabilize the Latent Space for Image Autoregressive Modeling: A Unified PerspectiveNeural Information Processing Systems (NeurIPS), 2024
Yongxin Zhu
Bing Li
Hang Zhang
Xin Li
Linli Xu
Lidong Bing
DiffM
256
19
0
16 Oct 2024
One Step Diffusion via Shortcut Models
One Step Diffusion via Shortcut ModelsInternational Conference on Learning Representations (ICLR), 2024
Kevin Frans
Danijar Hafner
Sergey Levine
Pieter Abbeel
VLMDiffM
643
175
0
16 Oct 2024
Learning Smooth Humanoid Locomotion through Lipschitz-Constrained
  Policies
Learning Smooth Humanoid Locomotion through Lipschitz-Constrained Policies
Zixuan Chen
Xialin He
Yen-Jen Wang
Qiayuan Liao
Yanjie Ze
...
S. Sastry
Jiajun Wu
Koushil Sreenath
Saurabh Gupta
Xue Bin Peng
368
40
0
15 Oct 2024
Large-Scale Knowledge Integration for Enhanced Molecular Property
  Prediction
Large-Scale Knowledge Integration for Enhanced Molecular Property PredictionInternational Workshop on Neural-Symbolic Learning and Reasoning (NeSy), 2024
Yasir Ghunaim
Robert Hoehndorf
AI4CE
178
1
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
226
16
0
14 Oct 2024
FasterDiT: Towards Faster Diffusion Transformers Training without
  Architecture Modification
FasterDiT: Towards Faster Diffusion Transformers Training without Architecture ModificationNeural Information Processing Systems (NeurIPS), 2024
J. Yao
Wang Cheng
Wenyu Liu
Xinggang Wang
325
39
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
219
10
0
12 Oct 2024
CryoFM: A Flow-based Foundation Model for Cryo-EM Densities
CryoFM: A Flow-based Foundation Model for Cryo-EM DensitiesInternational Conference on Learning Representations (ICLR), 2024
Yi Zhou
Yilai Li
Jing Yuan
Quanquan Gu
326
4
0
11 Oct 2024
Examining the Prevalence and Dynamics of AI-Generated Media in Art Subreddits
Examining the Prevalence and Dynamics of AI-Generated Media in Art Subreddits
Hana Matatov
Marianne Aubin Le Quere
Ofra Amir
Mor Naaman
379
10
0
09 Oct 2024
Story-Adapter: A Training-free Iterative Framework for Long Story
  Visualization
Story-Adapter: A Training-free Iterative Framework for Long Story Visualization
Jiawei Mao
Xiaoke Huang
Yunfei Xie
Yuanqi Chang
Mude Hui
Bingjie Xu
Yuyin Zhou
VGenDiffM
244
18
0
08 Oct 2024
HyperDet: Generalizable Detection of Synthesized Images by Generating
  and Merging A Mixture of Hyper LoRAs
HyperDet: Generalizable Detection of Synthesized Images by Generating and Merging A Mixture of Hyper LoRAs
Huangsen Cao
Yongwei Wang
Yinfeng Liu
Sixian Zheng
Kangtao Lv
Zhimeng Zhang
Bo Zhang
Xin Ding
Fei Wu
236
2
0
08 Oct 2024
FINALLY: fast and universal speech enhancement with studio-like quality
FINALLY: fast and universal speech enhancement with studio-like qualityNeural Information Processing Systems (NeurIPS), 2024
Nicholas Babaev
Kirill Tamogashev
Azat Saginbaev
Ivan Shchekotov
Hanbin Bae
Hosang Sung
WonJun Lee
Hoon-Young Cho
Pavel Andreev
399
13
0
08 Oct 2024
Double Oracle Neural Architecture Search for Game Theoretic Deep
  Learning Models
Double Oracle Neural Architecture Search for Game Theoretic Deep Learning ModelsIEEE Transactions on Image Processing (TIP), 2024
Aye Phyu Phyu Aung
Xinrun Wang
Ruiyu Wang
Hau Chan
Bo An
Xiaoli Li
J. Senthilnath
AAML
139
1
0
07 Oct 2024
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
Yuan Zhang
Chun-Kai Fan
Junpeng Ma
Wenzhao Zheng
Tao Huang
...
Denis A. Gudovskiy
Tomoyuki Okuno
Yohei Nakata
Kurt Keutzer
Shanghang Zhang
VLM
537
0
0
06 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
148
3
0
04 Oct 2024
Eliminating Oversaturation and Artifacts of High Guidance Scales in Diffusion Models
Eliminating Oversaturation and Artifacts of High Guidance Scales in Diffusion ModelsInternational Conference on Learning Representations (ICLR), 2024
Seyedmorteza Sadat
Otmar Hilliges
Romann M. Weber
DiffM
402
49
0
03 Oct 2024
Posterior sampling via Langevin dynamics based on generative priors
Posterior sampling via Langevin dynamics based on generative priors
Vishal Purohit
Matthew Repasky
Jianfeng Lu
Qiang Qiu
Yao Xie
Xiuyuan Cheng
DiffM
221
6
0
02 Oct 2024
ImageFolder: Autoregressive Image Generation with Folded Tokens
ImageFolder: Autoregressive Image Generation with Folded TokensInternational Conference on Learning Representations (ICLR), 2024
Xiang Li
Kai Qiu
Hao Chen
Jason Kuen
Jiuxiang Gu
Bhiksha Raj
Zhe Lin
VLM
302
63
0
02 Oct 2024
Denoising with a Joint-Embedding Predictive Architecture
Denoising with a Joint-Embedding Predictive ArchitectureInternational Conference on Learning Representations (ICLR), 2024
Dengsheng Chen
Jie Hu
Xiaoming Wei
Enhua Wu
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482
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0
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Adaptive Learning of the Latent Space of Wasserstein Generative
  Adversarial Networks
Adaptive Learning of the Latent Space of Wasserstein Generative Adversarial NetworksJournal of the American Statistical Association (JASA), 2024
Yixuan Qiu
Qingyi Gao
Xiao Wang
GAN
261
1
0
27 Sep 2024
Physics-aligned Schrödinger bridge
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Zeyu Li
Hongkun Dou
Shen Fang
Wang Han
Yue Deng
Lijun Yang
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267
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Rejection Sampling IMLE: Designing Priors for Better Few-Shot Image
  Synthesis
Rejection Sampling IMLE: Designing Priors for Better Few-Shot Image SynthesisEuropean Conference on Computer Vision (ECCV), 2024
Chirag Vashist
Shichong Peng
Ke Li
DiffM
313
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26 Sep 2024
KIPPS: Knowledge infusion in Privacy Preserving Synthetic Data
  Generation
KIPPS: Knowledge infusion in Privacy Preserving Synthetic Data Generation
Anantaa Kotal
Anupam Joshi
188
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Linking in Style: Understanding learned features in deep learning models
Linking in Style: Understanding learned features in deep learning modelsEuropean Conference on Computer Vision (ECCV), 2024
Maren H. Wehrheim
Pamela Osuna-Vargas
Matthias Kaschube
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Prompt Sliders for Fine-Grained Control, Editing and Erasing of Concepts
  in Diffusion Models
Prompt Sliders for Fine-Grained Control, Editing and Erasing of Concepts in Diffusion Models
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Nuno Vasconcelos
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230
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Zero-Shot Detection of AI-Generated Images
Zero-Shot Detection of AI-Generated ImagesEuropean Conference on Computer Vision (ECCV), 2024
D. Cozzolino
Giovanni Poggi
Matthias Nießner
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Advancing Video Quality Assessment for AIGC
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Xinli Yue
Jianhui Sun
Han Kong
Liangchao Yao
Tianyi Wang
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Jing Lv
Fan Xia
Yuetang Deng
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VGenEGVM
315
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Scaling Diffusion Policy in Transformer to 1 Billion Parameters for
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Yichen Zhu
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Ran Cheng
Chaomin Shen
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Feifei Feng
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218
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MM2Latent: Text-to-facial image generation and editing in GANs with
  multimodal assistance
MM2Latent: Text-to-facial image generation and editing in GANs with multimodal assistance
Debin Meng
Christos Tzelepis
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296
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