LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop

10 June 2015

Shuran Song

Papers citing "LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop"

50 / 58 papers shown

Title
Humble your Overconfident Networks: Unlearning Overfitting via Sequential Monte Carlo Tempered Deep Ensembles Andrew Millard Zheng Zhao Joshua Murphy Simon Maskell UQCV BDL 60 0 0 16 May 2025
Sparse-to-Sparse Training of Diffusion Models Inês Cardoso Oliveira Decebal Constantin Mocanu Luis A. Leiva DiffM 116 0 0 30 Apr 2025
MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection Lin Yuan Xuelong Li Yan Zhang Jiawei Zhang Hongbo Li Xinbo Gao 75 0 0 18 Apr 2025
The Others: Naturally Isolating Out-of-Distribution Samples for Robust Open-Set Semi-Supervised Learning You Rim Choi Subeom Park Seojun Heo Eunchung Noh Hyung-Sin Kim OODD 85 0 0 17 Apr 2025
Biologically Inspired Spiking Diffusion Model with Adaptive Lateral Selection Mechanism Linghao Feng Dongcheng Zhao Sicheng Shen Yi Zeng 83 0 0 31 Mar 2025
BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors Yu Wang Junxian Mu Hongzhi Huang Qilong Wang Pengfei Zhu Q. Hu 144 1 0 22 Mar 2025
CADRef: Robust Out-of-Distribution Detection via Class-Aware Decoupled Relative Feature Leveraging Zhiwei Ling Yachen Chang Hailiang Zhao Xinkui Zhao Kingsum Chow Shuiguang Deng OODD 100 0 0 01 Mar 2025
Image Watermarking of Generative Diffusion Models Yunzhuo Chen Jordan Vice Naveed Akhtar Nur Al Hasan Haldar Ajmal Mian WIGM 80 0 0 12 Feb 2025
Improved Training Technique for Latent Consistency Models Quan Dao Khanh Doan Di Liu Trung Le Dimitris N. Metaxas 98 3 0 03 Feb 2025
Towards Scalable Topological Regularizers Hiu-Tung Wong Darrick Lee Hong Yan BDL 92 0 0 24 Jan 2025
Nested Annealed Training Scheme for Generative Adversarial Networks Chang Wan Ming-Hsuan Yang Minglu Li Yunliang Jiang Zhonglong Zheng GAN 82 0 0 20 Jan 2025
Ditto: Accelerating Diffusion Model via Temporal Value Similarity Sungbin Kim Hyunwuk Lee Wonho Cho Mincheol Park Won Woo Ro 83 1 0 20 Jan 2025
TextureCrop: Enhancing Synthetic Image Detection through Texture-based Cropping Despina Konstantinidou C. Koutlis Symeon Papadopoulos 95 3 0 17 Jan 2025
Local Flow Matching Generative Models Chen Xu Xiuyuan Cheng Yao Xie 68 2 0 03 Jan 2025
M-Tuning: Prompt Tuning with Mitigated Label Bias in Open-Set Scenarios Ning Liao Xiaopeng Zhang Minglu Cao Junchi Yan VPVLM VLM 121 0 0 31 Dec 2024
Singular Value Scaling: Efficient Generative Model Compression via Pruned Weights Refinement H. Kim Jaejun Yoo 90 0 0 23 Dec 2024
FIRE: Robust Detection of Diffusion-Generated Images via Frequency-Guided Reconstruction Error Beilin Chu Xuan Xu Xin Wang Yanzhe Zhang Weike You Linna Zhou DiffM 112 1 0 10 Dec 2024
Diffusion Sampling Correction via Approximately 10 Parameters Guangyi Wang Wei Peng Lijiang Li Wenyu Chen Yuren Cai Songzhi Su DiffM 54 0 0 10 Nov 2024
DiMSUM: Diffusion Mamba -- A Scalable and Unified Spatial-Frequency Method for Image Generation Hao Phung Quan Dao T. Dao Hoang Phan Dimitris Metaxas Anh Tran Mamba 96 4 0 06 Nov 2024
PViT: Prior-augmented Vision Transformer for Out-of-distribution Detection Tianhao Zhang Zhixiang Chen Lyudmila Mihaylova 232 0 0 27 Oct 2024
Edge-preserving noise for diffusion models Jente Vandersanden Sascha Holl Xingchang Huang Gurprit Singh DiffM 56 1 0 02 Oct 2024
Understanding Generative AI Content with Embedding Models Max Vargas Reilly Cannon A. Engel Anand D. Sarwate Tony Chiang 120 3 0 19 Aug 2024
Temporal Feature Matters: A Framework for Diffusion Model Quantization Yushi Huang Ruihao Gong Xianglong Liu Jing Liu Yuhang Li Jiwen Lu Dacheng Tao DiffM MQ 61 0 0 28 Jul 2024
Diffusion-Driven Semantic Communication for Generative Models with Bandwidth Constraints Lei Guo Wei Chen Yuxuan Sun Bo Ai Nikolaos Pappas T. Quek DiffM 96 6 0 26 Jul 2024
BIV-Priv-Seg: Locating Private Content in Images Taken by People With Visual Impairments Yu-Yun Tseng Tanusree Sharma Lotus Zhang Abigale Stangl Leah Findlater Yang Wang Danna Gurari 102 0 0 25 Jul 2024
Exploring the Potentials and Challenges of Deep Generative Models in Product Design Conception Phillip Mueller Lars Mikelsons AI4CE 69 2 0 15 Jul 2024
Restyling Unsupervised Concept Based Interpretable Networks with Generative Models Jayneel Parekh Quentin Bouniot Pavlo Mozharovskyi A. Newson Florence dÁlché-Buc SSL 96 1 0 01 Jul 2024
A Sanity Check for AI-generated Image Detection Shilin Yan Ouxiang Li Jiayin Cai Y. Hao Xiaolong Jiang Feng-Long Xie Weidi Xie VLM 87 29 0 27 Jun 2024
Diffusion Models in Low-Level Vision: A Survey Chunming He Yuqi Shen Chengyu Fang Fengyang Xiao Longxiang Tang Yulun Zhang W. Zuo Zhenhua Guo Xiu Li VLM DiffM MedIm 101 34 0 17 Jun 2024
Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection Yingwen Wu Ruiji Yu Xinwen Cheng Zhengbao He Xiaolin Huang OODD 84 3 0 28 May 2024
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning Yeongmin Kim Kwanghyeon Lee Minsang Park Byeonghu Na Il-Chul Moon DiffM 78 2 0 27 May 2024
Learning to Discretize Denoising Diffusion ODEs Vinh Tong Hoang Trung-Dung Anji Liu Guy Van den Broeck Mathias Niepert DiffM 97 5 0 24 May 2024
Hallucination Detection in Foundation Models for Decision-Making: A Flexible Definition and Review of the State of the Art Neeloy Chakraborty Melkior Ornik Katherine Driggs-Campbell LRM 115 11 0 25 Mar 2024
Diffusion Model-Based Image Editing: A Survey Yi Huang Jiancheng Huang Yifan Liu Mingfu Yan Jiaxi Lv Jianzhuang Liu Wei Xiong He Zhang Liangliang Cao Liangliang Cao EGVM 96 90 0 27 Feb 2024
Kernel PCA for Out-of-Distribution Detection Kun Fang Qinghua Tao Kexin Lv Mingzhen He Xiaolin Huang Jie Yang OODD 77 2 0 05 Feb 2024
Out-of-Distribution Detection & Applications With Ablated Learned Temperature Energy Will LeVine Benjamin Pikus Jacob Phillips Berk Norman Fernando Amat Gil Sean Hendryx OODD 119 1 0 22 Jan 2024
Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable and Trustworthy Image Recognition Chong Wang Yuanhong Chen Fengbei Liu Yuyuan Liu Davis J. McCarthy Helen Frazer Gustavo Carneiro 82 1 0 30 Nov 2023
Elucidating the solution space of extended reverse-time SDE for diffusion models Qinpeng Cui Xinyi Zhang Zongqing Lu Qingmin Liao DiffM 61 5 0 12 Sep 2023
AI-Generated Content (AIGC) for Various Data Modalities: A Survey Lin Geng Foo Hossein Rahmani Jing Liu 126 31 0 27 Aug 2023
Out-of-distribution detection using normalizing flows on the data manifold S. Razavi M. Mehmanchi Reshad Hosseini Mostafa Tavassolipour OODD 65 0 0 26 Aug 2023
Generalizable Synthetic Image Detection via Language-guided Contrastive Learning Haiwei Wu Jiantao Zhou Shile Zhang 139 30 0 23 May 2023
Deep Learning for Camera Calibration and Beyond: A Survey K. Liao Lang Nie Shujuan Huang Chunyu Lin Jing Zhang Yao Zhao Moncef Gabbouj Dacheng Tao 83 25 0 19 Mar 2023
Enhanced Controllability of Diffusion Models via Feature Disentanglement and Realism-Enhanced Sampling Methods Wonwoong Cho Hareesh Ravi Midhun Harikumar V. Khuc Krishna Kumar Singh Jingwan Lu David I. Inouye Ajinkya Kale DiffM 79 7 0 28 Feb 2023
Preconditioned Score-based Generative Models He Ma Xiatian Zhu Xiatian Zhu Jianfeng Feng DiffM 65 6 0 13 Feb 2023
TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up Yi Ding Shiyu Chang Zhangyang Wang ViT 72 389 0 14 Feb 2021
Algorithmic decision-making in AVs: Understanding ethical and technical concerns for smart cities H. S. M. Lim Araz Taeihagh 41 83 0 29 Oct 2019
Generating Natural Adversarial Examples Zhengli Zhao Dheeru Dua Sameer Singh GAN AAML 138 599 0 31 Oct 2017
Pixel Recursive Super Resolution Ryan Dahl Mohammad Norouzi Jonathon Shlens SupR 92 252 0 02 Feb 2017
Wasserstein GAN Martín Arjovsky Soumith Chintala Léon Bottou GAN 140 4,822 0 26 Jan 2017
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 328 43,154 0 11 Feb 2015