Cover Image

Hallucination Early Detection in Diffusion Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Betti, Federico, Baraldi, Lorenzo, Cucchiara, Rita, Sebe, Nicu
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Optimizing Resource Consumption in Diffusion Models through Hallucination Early Detection
by: Betti, Federico, et al.
Published: (2024)

What Changed? Detecting and Evaluating Instruction-Guided Image Edits with Multimodal Large Language Models
by: Baraldi, Lorenzo, et al.
Published: (2025)

Contrasting Deepfakes Diffusion via Contrastive Learning and Global-Local Similarities
by: Baraldi, Lorenzo, et al.
Published: (2024)

Fluent and Accurate Image Captioning with a Self-Trained Reward Model
by: Moratelli, Nicholas, et al.
Published: (2024)

Tiny Inference-Time Scaling with Latent Verifiers
by: Bucciarelli, Davide, et al.
Published: (2026)

Learning to Mask and Permute Visual Tokens for Vision Transformer Pre-Training
by: Baraldi, Lorenzo, et al.
Published: (2023)

Training-Free Open-Vocabulary Segmentation with Offline Diffusion-Augmented Prototype Generation
by: Barsellotti, Luca, et al.
Published: (2024)

RaTA-Tool: Retrieval-based Tool Selection with Multimodal Large Language Models
by: Mattioli, Gabriele, et al.
Published: (2026)

AIGeN: An Adversarial Approach for Instruction Generation in VLN
by: Rawal, Niyati, et al.
Published: (2024)

BRIDGE: Bridging Gaps in Image Captioning Evaluation with Stronger Visual Cues
by: Sarto, Sara, et al.
Published: (2024)

The Revolution of Multimodal Large Language Models: A Survey
by: Caffagni, Davide, et al.
Published: (2024)

Augmenting Multimodal LLMs with Self-Reflective Tokens for Knowledge-based Visual Question Answering
by: Cocchi, Federico, et al.
Published: (2024)

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization
by: Compagnoni, Alberto, et al.
Published: (2025)

Personalized Instance-based Navigation Toward User-Specific Objects in Realistic Environments
by: Barsellotti, Luca, et al.
Published: (2024)

Hyperbolic Safety-Aware Vision-Language Models
by: Poppi, Tobia, et al.
Published: (2025)

Causal Graphical Models for Vision-Language Compositional Understanding
by: Parascandolo, Fiorenzo, et al.
Published: (2024)

Personalizing Multimodal Large Language Models for Image Captioning: An Experimental Analysis
by: Bucciarelli, Davide, et al.
Published: (2024)

Safe-CLIP: Removing NSFW Concepts from Vision-and-Language Models
by: Poppi, Samuele, et al.
Published: (2023)

Mapping High-level Semantic Regions in Indoor Environments without Object Recognition
by: Bigazzi, Roberto, et al.
Published: (2024)

Spot the Difference: A Novel Task for Embodied Agents in Changing Environments
by: Landi, Federico, et al.
Published: (2022)

Embodied Navigation at the Art Gallery
by: Bigazzi, Roberto, et al.
Published: (2022)

Perceive, Query & Reason: Enhancing Video QA with Question-Guided Temporal Queries
by: Amoroso, Roberto, et al.
Published: (2024)

Recurrence-Enhanced Vision-and-Language Transformers for Robust Multimodal Document Retrieval
by: Caffagni, Davide, et al.
Published: (2025)

Positive-Augmented Contrastive Learning for Vision-and-Language Evaluation and Training
by: Sarto, Sara, et al.
Published: (2024)

Towards Retrieval-Augmented Architectures for Image Captioning
by: Sarto, Sara, et al.
Published: (2024)

Embodied Agents for Efficient Exploration and Smart Scene Description
by: Bigazzi, Roberto, et al.
Published: (2023)

Recurrence Meets Transformers for Universal Multimodal Retrieval
by: Caffagni, Davide, et al.
Published: (2025)

Revisiting Image Captioning Training Paradigm via Direct CLIP-based Optimization
by: Moratelli, Nicholas, et al.
Published: (2024)

Explore and Explain: Self-supervised Navigation and Recounting
by: Bigazzi, Roberto, et al.
Published: (2020)

Multi-Class Unlearning for Image Classification via Weight Filtering
by: Poppi, Samuele, et al.
Published: (2023)

RAID: A Dataset for Testing the Adversarial Robustness of AI-Generated Image Detectors
by: Eddoubi, Hicham, et al.
Published: (2025)

LLaVA-MORE: A Comparative Study of LLMs and Visual Backbones for Enhanced Visual Instruction Tuning
by: Cocchi, Federico, et al.
Published: (2025)

Wiki-LLaVA: Hierarchical Retrieval-Augmented Generation for Multimodal LLMs
by: Caffagni, Davide, et al.
Published: (2024)

GramSR: Visual Feature Conditioning for Diffusion-Based Super-Resolution
by: D'Oronzio, Fabio, et al.
Published: (2026)

Parents and Children: Distinguishing Multimodal DeepFakes from Natural Images
by: Amoroso, Roberto, et al.
Published: (2023)

Talking to DINO: Bridging Self-Supervised Vision Backbones with Language for Open-Vocabulary Segmentation
by: Barsellotti, Luca, et al.
Published: (2024)

CounterVid: Counterfactual Video Generation for Mitigating Action and Temporal Hallucinations in Video-Language Models
by: Poppi, Tobia, et al.
Published: (2026)

ReAG: Reasoning-Augmented Generation for Knowledge-based Visual Question Answering
by: Compagnoni, Alberto, et al.
Published: (2025)

Dress-ED: Instruction-Guided Editing for Virtual Try-On and Try-Off
by: Sanguigni, Fulvio, et al.
Published: (2026)

Inverse Virtual Try-On: Generating Multi-Category Product-Style Images from Clothed Individuals
by: Lobba, Davide, et al.
Published: (2025)