v1v2v3 (latest)

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 / 1,554 papers shown

BADiff: Bandwidth Adaptive Diffusion Model

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Machine-learning-enabled interpretation of tribological deformation patterns in large-scale MD data

103

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Rethinking the Use of Vision Transformers for AI-Generated Image Detection

227

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Temp-SCONE: A Novel Out-of-Distribution Detection and Domain Generalization Framework for Wild Data with Temporal Shift

161

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CARD: Correlation Aware Restoration with Diffusion

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Rethinking Cross-Generator Image Forgery Detection through DINOv3

162

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Fewer Tokens, Greater Scaling: Self-Adaptive Visual Bases for Efficient and Expansive Representation Learning

134

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Warm Diffusion: Recipe for Blur-Noise Mixture Diffusion ModelsInternational Conference on Learning Representations (ICLR), 2025

199

21 Nov 2025

Exploiting Inter-Sample Information for Long-tailed Out-of-Distribution DetectionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2025

465

20 Nov 2025

TSRE: Channel-Aware Typical Set Refinement for Out-of-Distribution Detection

438

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Functional Mean Flow in Hilbert Space

229

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Enhanced Privacy Leakage from Noise-Perturbed Gradients via Gradient-Guided Conditional Diffusion Models

364

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Test-Time Iterative Error Correction for Efficient Diffusion Models

Yunshan Zhong

Yanwei Qi

Yuxin Zhang

245

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Detecting Generated Images by Fitting Natural Image Distributions

309

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Bayesian model selection and misspecification testing in imaging inverse problems only from noisy and partial measurements

Tom Sprunck

Marcelo Pereyra

T. Liaudat

279

31 Oct 2025

Balanced conic rectified flow

194

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Adaptive Stochastic Coefficients for Accelerating Diffusion Sampling

228

27 Oct 2025

Self-Attention Decomposition For Training Free Diffusion Editing

Tharun Anand

Mohammad Hassan Vali

Arno Solin

Green Rosh

BH Pawan Prasad

DiffM

146

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AccuQuant: Simulating Multiple Denoising Steps for Quantizing Diffusion Models

283

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Beyond sparse denoising in frames: minimax estimation with a scattering transform

Nathanaël Cuvelle--Magar

Stéphane Mallat

268

22 Oct 2025

Compressing Biology: Evaluating the Stable Diffusion VAE for Phenotypic Drug Discovery

Télio Cropsal

Rocío Mercado

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172

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GAS: Improving Discretization of Diffusion ODEs via Generalized Adversarial Solver

229

20 Oct 2025

GOOD: Training-Free Guided Diffusion Sampling for Out-of-Distribution Detection

...

335

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Local Background Features Matter in Out-of-Distribution Detection

286

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CoLoR-GAN: Continual Few-Shot Learning with Low-Rank Adaptation in Generative Adversarial Networks

324

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Deep Neural Networks Inspired by Differential Equations

248

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Approximate Gaussian Mapping for Generative Image Steganography

212

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Cluster Paths: Navigating Interpretability in Neural Networks

Nicholas M. Kroeger

Vincent Bindschaedler

189

08 Oct 2025

A Median Perspective on Unlabeled Data for Out-of-Distribution Detection

Momin Abbas

Ali Falahati

Hossein Goli

Mohammad Mohammadi Amiri

202

07 Oct 2025

Redefining Generalization in Visual Domains: A Two-Axis Framework for Fake Image Detection with FusionDetect

296

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Fine-Tuning Diffusion Models via Intermediate Distribution Shaping

Karthikeyan Shanmugam

258

03 Oct 2025

Product-Quantised Image Representation for High-Quality Image Synthesis

Denis Zavadski

Nikita Philip Tatsch

Carsten Rother

143

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MACS: Measurement-Aware Consistency Sampling for Inverse Problems

Amirreza Tanevardi

Pooria Abbas Rad Moghadam

Seyed Mohammad Eshtehardian

Sajjad Amini

Babak Khalaj

DiffM

441

02 Oct 2025

DiVeQ: Differentiable Vector Quantization Using the Reparameterization Trick

Mohammad Hassan Vali

Tom Bäckström

Arno Solin

205

30 Sep 2025

Post-Training Quantization via Residual Truncation and Zero Suppression for Diffusion Models

197

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EVODiff: Entropy-aware Variance Optimized Diffusion Inference

236

30 Sep 2025

OmniDFA: A Unified Framework for Open Set Synthesis Image Detection and Few-Shot Attribution

186

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SAIP: A Plug-and-Play Scale-adaptive Module in Diffusion-based Inverse Problems

Lingyu Wang

Xiangming Meng

DiffM

191

29 Sep 2025

Deepfakes: we need to re-think the concept of "real" images

J. Keuper

Margret Keuper

180

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PnP-CM: Consistency Models as Plug-and-Play Priors for Inverse Problems

384

25 Sep 2025

FerretNet: Efficient Synthetic Image Detection via Local Pixel Dependencies

276

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Long-Tailed Out-of-Distribution Detection with Refined Separate Class Learning

514

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Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification

281

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DRAG: Data Reconstruction Attack using Guided Diffusion

200

15 Sep 2025

LoFT: Parameter-Efficient Fine-Tuning for Long-tailed Semi-Supervised Learning in Open-World Scenarios

269

12 Sep 2025

LADB: Latent Aligned Diffusion Bridges for Semi-Supervised Domain Translation

196

10 Sep 2025

Tackling the Noisy Elephant in the Room: Label Noise-robust Out-of-Distribution Detection via Loss Correction and Low-rank Decomposition

Tarhib Al Azad

Shahana Ibrahim

OODD

296

08 Sep 2025

Multi-Method Ensemble for Out-of-Distribution Detection

Lucas Rakotoarivony

OODD

331

29 Aug 2025

Sharpness-Aware Geometric Defense for Robust Out-Of-Distribution Detection

Jeng-Lin Li

Ming-Ching Chang

Wei-Chao Chen

182

24 Aug 2025