Cover Image

Local Intrinsic Dimension Unveils Hallucinations in Diffusion Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sobieski, Bartlomiej, Tivnan, Matthew, Płudowski, Dawid, Włodarczyk, Michał Jan, Jin, Pengfei, Biecek, Przemyslaw, Li, Quanzheng
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Rethinking Visual Counterfactual Explanations Through Region Constraint
by: Sobieski, Bartlomiej, et al.
Published: (2024)

Global Counterfactual Directions
by: Sobieski, Bartlomiej, et al.
Published: (2024)

Your CLIP has 164 dimensions of noise: Exploring the embeddings covariance eigenspectrum of contrastively pretrained vision-language transformers
by: Grzywaczewski, Jakub, et al.
Published: (2026)

SwordBench: Evaluating Orthogonality of Steering Image Representations
by: Zaigrajew, Vladimir, et al.
Published: (2026)

Auditing Sybil: Explaining Deep Lung Cancer Risk Prediction Through Generative Interventional Attributions
by: Sobieski, Bartlomiej, et al.
Published: (2026)

System-Embedded Diffusion Bridge Models
by: Sobieski, Bartlomiej, et al.
Published: (2025)

Red-Teaming Segment Anything Model
by: Jankowski, Krzysztof, et al.
Published: (2024)

Interpretable machine learning for time-to-event prediction in medicine and healthcare
by: Baniecki, Hubert, et al.
Published: (2023)

Position: Do Not Explain Vision Models Without Context
by: Tomaszewska, Paulina, et al.
Published: (2024)

NormEnsembleXAI: Unveiling the Strengths and Weaknesses of XAI Ensemble Techniques
by: Hryniewska-Guzik, Weronika, et al.
Published: (2024)

LINE: LLM-based Iterative Neuron Explanations for Vision Models
by: Zaigrajew, Vladimir, et al.
Published: (2026)

Underestimation of lung regions on chest X-ray segmentation masks assessed by comparison with total lung volume evaluated on computed tomography
by: Bombiński, Przemysław, et al.
Published: (2024)

Adversarial attacks and defenses in explainable artificial intelligence: A survey
by: Baniecki, Hubert, et al.
Published: (2023)

An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models
by: Wang, Yuang, et al.
Published: (2024)

CNN-based explanation ensembling for dataset, representation and explanations evaluation
by: Hryniewska-Guzik, Weronika, et al.
Published: (2024)

Prediction of Frozen Region Growth in Kidney Cryoablation Intervention Using a 3D Flow-Matching Model
by: Yoon, Siyeop, et al.
Published: (2025)

Interpreting CLIP with Hierarchical Sparse Autoencoders
by: Zaigrajew, Vladimir, et al.
Published: (2025)

Projection Embedded Diffusion Bridge for CT Reconstruction from Incomplete Data
by: Wang, Yuang, et al.
Published: (2025)

RODS: Robust Optimization Inspired Diffusion Sampling for Detecting and Reducing Hallucination in Generative Models
by: Tian, Yiqi, et al.
Published: (2025)

Measurement Embedded Schrödinger Bridge for Inverse Problems
by: Wang, Yuang, et al.
Published: (2024)

X-ray transferable polyrepresentation learning
by: Hryniewska-Guzik, Weronika, et al.
Published: (2025)

Cascaded 3D Diffusion Models for Whole-body 3D 18-F FDG PET/CT synthesis from Demographics
by: Yoon, Siyeop, et al.
Published: (2025)

Surf2CT: Cascaded 3D Flow Matching Models for Torso 3D CT Synthesis from Skin Surface
by: Yoon, Siyeop, et al.
Published: (2025)

Unveiling and Mitigating Generalized Biases of DNNs through the Intrinsic Dimensions of Perceptual Manifolds
by: Ma, Yanbiao, et al.
Published: (2024)

UnGuide: Learning to Forget with LoRA-Guided Diffusion Models
by: Polowczyk, Agnieszka, et al.
Published: (2025)

Birds look like cars: Adversarial analysis of intrinsically interpretable deep learning
by: Baniecki, Hubert, et al.
Published: (2025)

A Finite Difference Approximation of Second Order Regularization of Neural-SDFs
by: Yin, Haotian, et al.
Published: (2025)

Beyond Blur: A Fluid Perspective on Generative Diffusion Models
by: Gruszczynski, Grzegorz, et al.
Published: (2025)

AEGIS: Preserving privacy of 3D Facial Avatars with Adversarial Perturbations
by: Wolkiewicz, Dawid, et al.
Published: (2025)

Does context matter in digital pathology?
by: Tomaszewska, Paulina, et al.
Published: (2024)

Red Teaming Models for Hyperspectral Image Analysis Using Explainable AI
by: Zaigrajew, Vladimir, et al.
Published: (2024)

DuetFair: Coupling Inter- and Intra-Subgroup Robustness for Fair Medical Image Segmentation
by: Tian, Yiqi, et al.
Published: (2026)

Swin SMT: Global Sequential Modeling in 3D Medical Image Segmentation
by: Płotka, Szymon, et al.
Published: (2024)

Tackling Structural Hallucination in Image Translation with Local Diffusion
by: Kim, Seunghoi, et al.
Published: (2024)

What Makes LVLMs Hallucinate Less? Unveiling the Architectural Factors Behind Hallucination Robustness
by: He, Yusheng, et al.
Published: (2026)

Explaining Similarity in Vision-Language Encoders with Weighted Banzhaf Interactions
by: Baniecki, Hubert, et al.
Published: (2025)

Aggregated Attributions for Explanatory Analysis of 3D Segmentation Models
by: Chrabaszcz, Maciej, et al.
Published: (2024)

Measurement Geometry and Design for Trustworthy Generative Inverse Problems
by: Jin, Pengfei, et al.
Published: (2026)

Enhancing AI Face Realism: Cost-Efficient Quality Improvement in Distilled Diffusion Models with a Fully Synthetic Dataset
by: Wasala, Jakub, et al.
Published: (2025)

Deep spatial context: when attention-based models meet spatial regression
by: Tomaszewska, Paulina, et al.
Published: (2024)