Diffusion Models Beat GANs on Image Synthesis

11 May 2021

Papers citing "Diffusion Models Beat GANs on Image Synthesis"

50 / 4,858 papers shown

Title
Diffusion Models for Tabular Data: Challenges, Current Progress, and Future Directions Zhong Li Qi Huang Lincen Yang Jiayang Shi Zhao Yang N. V. Stein Thomas Bäck M. Leeuwen DiffM 44 0 0 24 Feb 2025
Mitigating Hallucinations in Diffusion Models through Adaptive Attention Modulation Trevine Oorloff Yaser Yacoob Abhinav Shrivastava 51 0 0 24 Feb 2025
Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization Taeyoung Yun Kiyoung Om Jaewoo Lee Sujin Yun Jinkyoo Park 53 1 0 24 Feb 2025
SFLD: Reducing the content bias for AI-generated Image Detection Seoyeon Gye Junwon Ko Hyounguk Shon Minchan Kwon Junmo Kim 46 0 0 24 Feb 2025
GCC: Generative Color Constancy via Diffusing a Color Checker Chen-Wei Chang Cheng-De Fan Chia-Che Chang Yi-Chen Lo Yu-Chee Tseng Jiun-Long Huang Yu-Lun Liu 46 0 0 24 Feb 2025
Human2Robot: Learning Robot Actions from Paired Human-Robot Videos Sicheng Xie Haidong Cao Zejia Weng Zhen Xing Shiwei Shen Jiaqi Leng Xipeng Qiu Yanwei Fu Zuxuan Wu Yu Jiang 53 0 0 23 Feb 2025
A Review of Artificial Intelligence Impacting Statistical Process Monitoring and Future Directions Shing I Chang Parviz Ghafariasl AI4TS 39 0 0 23 Feb 2025
Mean-Shift Distillation for Diffusion Mode Seeking Vikas Thamizharasan Nikitas Chatzis Iliyan Georgiev Matthew Fisher Difan Liu Nanxuan Zhao E. Kalogerakis Michal Lukac DiffM 40 0 0 21 Feb 2025
PFDiff: Training-Free Acceleration of Diffusion Models Combining Past and Future Scores Guangyi Wang Yuren Cai Lijiang Li Wei Peng Songzhi Su DiffM 49 0 0 21 Feb 2025
Conditional diffusion model with spatial attention and latent embedding for medical image segmentation Behzad Hejrati Soumyanil Banerjee C. Glide-Hurst Ming Dong DiffM MedIm 117 0 0 21 Feb 2025
Text-to-Image Rectified Flow as Plug-and-Play Priors Xiaofeng Yang Cheng Chen Xulei Yang Fayao Liu Guosheng Lin DiffM 70 7 0 21 Feb 2025
Transfer Learning with Pre-trained Conditional Generative Models Shinýa Yamaguchi Sekitoshi Kanai Atsutoshi Kumagai Daiki Chijiwa H. Kashima VLM CLL BDL DiffM 144 5 0 21 Feb 2025
On Memorization in Diffusion Models Xiangming Gu Chao Du Tianyu Pang Chongxuan Li Min-Bin Lin Ye Wang DiffM TDI 166 43 0 21 Feb 2025
$Controllable Unlearning for Image-to-Image Generative Models via $\varepsilon$-Constrained Optimization$ Controllable Unlearning for Image-to-Image Generative Models via $\varepsilon$ -Constrained Optimization Xiaohua Feng Chao-Jun Chen Yuyuan Li L. Zhang Longfei Li Jun Zhou Xiaolin Zheng MU 73 0 0 20 Feb 2025
FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise Yunlong Yuan Yuanfan Guo Chunwei Wang Wei Zhang Hang Xu L. Zhang DiffM VGen 115 1 0 20 Feb 2025
Reward-Guided Iterative Refinement in Diffusion Models at Test-Time with Applications to Protein and DNA Design Masatoshi Uehara Xingyu Su Yulai Zhao Xiner Li Aviv Regev Shuiwang Ji Sergey Levine Tommaso Biancalani 55 1 0 20 Feb 2025
Diffusion Models in Recommendation Systems: A Survey Ting-Ruen Wei Yi Fang 87 2 0 20 Feb 2025
Guaranteed Conditional Diffusion: 3D Block-based Models for Scientific Data Compression Jaemoon Lee Xiao Li Liangji Zhu Sanjay Ranka Anand Rangarajan DiffM 80 1 0 18 Feb 2025
Policy-to-Language: Train LLMs to Explain Decisions with Flow-Matching Generated Rewards Xinyi Yang Liang Zeng Heng Dong C. Yu X. Wu H. Yang Yu Wang Milind Tambe Tonghan Wang 76 2 0 18 Feb 2025
Computational Safety for Generative AI: A Signal Processing Perspective Pin-Yu Chen 73 1 0 18 Feb 2025
NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation Zhiyuan Liu Yanchen Luo Han Huang Enzhi Zhang Sihang Li Junfeng Fang Yaorui Shi X. Wang Kenji Kawaguchi Tat-Seng Chua 100 3 0 18 Feb 2025
Secure and Efficient Watermarking for Latent Diffusion Models in Model Distribution Scenarios Liangqi Lei Keke Gai Jing Yu Liehuang Zhu Qi Wu WIGM 58 0 0 18 Feb 2025
MALT Diffusion: Memory-Augmented Latent Transformers for Any-Length Video Generation Sihyun Yu Meera Hahn Dan Kondratyuk Jinwoo Shin Agrim Gupta José Lezama Irfan Essa David A. Ross Jonathan Huang DiffM VGen 77 0 0 18 Feb 2025
GrainPaint: A multi-scale diffusion-based generative model for microstructure reconstruction of large-scale objects Nathan Hoffman Cashen Diniz Dehao Liu T. Rodgers Anh Tran Mark Fuge AI4CE DiffM 46 0 0 18 Feb 2025
EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling Theodoros Kouzelis Ioannis Kakogeorgiou Spyros Gidaris N. Komodakis DRL 78 5 0 17 Feb 2025
DifCluE: Generating Counterfactual Explanations with Diffusion Autoencoders and modal clustering Suparshva Jain Amit Sangroya Lovekesh Vig DiffM 38 1 0 17 Feb 2025
FreeBlend: Advancing Concept Blending with Staged Feedback-Driven Interpolation Diffusion Yufan Zhou Haoyu Shen Huan Wang DiffM 104 0 0 17 Feb 2025
Diffusion Models without Classifier-free Guidance Zhicong Tang Jianmin Bao Dong Chen Baining Guo VLM 57 2 0 17 Feb 2025
Maximize Your Diffusion: A Study into Reward Maximization and Alignment for Diffusion-based Control Dom Huh P. Mohapatra 83 1 0 16 Feb 2025
Vision-Enhanced Time Series Forecasting via Latent Diffusion Models Weilin Ruan Siru Zhong Haomin Wen Yuxuan Liang AI4TS 77 1 0 16 Feb 2025
Boosting Generalization in Diffusion-Based Neural Combinatorial Solver via Energy-guided Sampling Haoyu Lei Kaiwen Zhou Y. Li Zhitang Chen Farzan Farnia DiffM 70 1 0 15 Feb 2025
PDA: Generalizable Detection of AI-Generated Images via Post-hoc Distribution Alignment Li Wang Wenyu Chen Zheng Li Shanqing Guo 38 0 0 15 Feb 2025
Large Language Diffusion Models Shen Nie Fengqi Zhu Zebin You Xiaolu Zhang Jingyang Ou Jun Hu Jun Zhou Yankai Lin Ji-Rong Wen Chongxuan Li 110 15 0 14 Feb 2025
Regularization can make diffusion models more efficient Mahsa Taheri Johannes Lederer 98 0 0 13 Feb 2025
Diffusing DeBias: Synthetic Bias Amplification for Model Debiasing Massimiliano Ciranni Vito Paolo Pastore Roberto Di Via Enzo Tartaglione Francesca Odone Vittorio Murino DiffM 105 0 0 13 Feb 2025
Designing a Conditional Prior Distribution for Flow-Based Generative Models Noam Issachar Mohammad Salama Raanan Fattal Sagie Benaim 89 0 0 13 Feb 2025
Machine learning for modelling unstructured grid data in computational physics: a review Sibo Cheng Marc Bocquet Weiping Ding Tobias S. Finn Rui Fu ... Yong Zeng Mingrui Zhang Hao Zhou Kewei Zhu Rossella Arcucci PINN AI4CE 114 0 0 13 Feb 2025
DiffEx: Explaining a Classifier with Diffusion Models to Identify Microscopic Cellular Variations Anis Bourou Saranga Kingkor Mahanta Thomas Boyer Valérie Mezger Auguste Genovesio MedIm 59 0 0 12 Feb 2025
Ultrasound Image Generation using Latent Diffusion Models Benoit Freiche Anthony El-Khoury Ali Nasiri-Sarvi Mahdi S. Hosseini Damien Garcia Adrian Basarab Mathieu Boily Hassan Rivaz MedIm 59 0 0 12 Feb 2025
HistoSmith: Single-Stage Histology Image-Label Generation via Conditional Latent Diffusion for Enhanced Cell Segmentation and Classification V. Vadori Jean-Marie Graic A. Peruffo L. Finos Ujwala Kiran Chaudhari Enrico Grisan DiffM MedIm 88 0 0 12 Feb 2025
Understanding Classifier-Free Guidance: High-Dimensional Theory and Non-Linear Generalizations Krunoslav Lehman Pavasovic Jakob Verbeek Giulio Biroli Marc Mézard 64 0 0 11 Feb 2025
MaRS: A Fast Sampler for Mean Reverting Diffusion based on ODE and SDE Solvers Ao Li Wei Fang Hongbo Zhao Le Lu Ge Yang Minfeng Xu DiffM 83 0 0 11 Feb 2025
$UniDemoir\é: Towards Universal Image Demoir\éing with Data Generation and Synthesis$ UniDemoir\é: Towards Universal Image Demoir\éing with Data Generation and Synthesis Zemin Yang Yujing Sun Xidong Peng S. Yiu Yuexin Ma DiffM 71 1 0 10 Feb 2025
Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene Tai-Yu Pan Sooyoung Jeon Mengdi Fan Jinsu Yoo Zhenyang Feng Mark E. Campbell Kilian Q. Weinberger Bharath Hariharan Wei-Lun Chao 106 0 0 10 Feb 2025
MaterialFusion: High-Quality, Zero-Shot, and Controllable Material Transfer with Diffusion Models Kamil Garifullin Maxim Nikolaev Andrey Kuznetsov Aibek Alanov 58 0 0 10 Feb 2025
Solving Linear-Gaussian Bayesian Inverse Problems with Decoupled Diffusion Sequential Monte Carlo Filip Ekstrom Kelvinius Zheng Zhao Fredrik Lindsten DiffM 52 0 0 10 Feb 2025
Zero-shot Depth Completion via Test-time Alignment with Affine-invariant Depth Prior Lee Hyoseok Kyeong Seon Kim Kwon Byung-Ki Tae-Hyun Oh MDE 137 0 0 10 Feb 2025
History-Guided Video Diffusion Kiwhan Song Boyuan Chen Max Simchowitz Yilun Du Russ Tedrake Vincent Sitzmann VGen 117 7 0 10 Feb 2025
Diffusion Models for Computational Neuroimaging: A Survey Haokai Zhao Haowei Lou Lina Yao Wei Peng Ehsan Adeli K. Pohl Yu Zhang MedIm 50 2 0 10 Feb 2025
Guidance-base Diffusion Models for Improving Photoacoustic Image Quality Tatsuhiro Eguchi Shumpei Takezaki Mihoko Shimano Takayuki Yagi Ryoma Bise MedIm 56 0 0 10 Feb 2025