Cover Image

DREAM: A Benchmark Study for Deepfake photoREalism AssessMent

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Peng, Bo, Wang, Zichuan, Yu, Sheng, Jin, Xiaochuan, Wang, Wei, Dong, Jing
Format:	Preprint
Published:	2025
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

CLIP-AGIQA: Boosting the Performance of AI-Generated Image Quality Assessment with CLIP
by: Tang, Zhenchen, et al.
Published: (2024)

HandEval: Taking the First Step Towards Hand Quality Evaluation in Generated Images
by: Wang, Zichuan, et al.
Published: (2025)

Revisiting MLLM Based Image Quality Assessment: Errors and Remedy
by: Tang, Zhenchen, et al.
Published: (2025)

Concept Corrector: Erase concepts on the fly for text-to-image diffusion models
by: Meng, Zheling, et al.
Published: (2025)

Dark Miner: Defend against undesirable generation for text-to-image diffusion models
by: Meng, Zheling, et al.
Published: (2024)

Deepfake Generation and Detection: A Benchmark and Survey
by: Pei, Gan, et al.
Published: (2024)

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models
by: Wang, Jiarui, et al.
Published: (2025)

DREAM: Improving Video-Text Retrieval Through Relevance-Based Augmentation Using Large Foundation Models
by: Wang, Yimu, et al.
Published: (2024)

MedCAL-Bench: A Comprehensive Benchmark on Cold-Start Active Learning with Foundation Models for Medical Image Analysis
by: Zhu, Ning, et al.
Published: (2025)

MSCT: Differential Cross-Modal Attention for Deepfake Detection
by: Wei, Fangda, et al.
Published: (2026)

Inconsistency-aware Multimodal Schrödinger Bridge for Deepfake Localization
by: Xiong, Jiayu, et al.
Published: (2026)

Deepfake Detection that Generalizes Across Benchmarks
by: Yermakov, Andrii, et al.
Published: (2025)

DREAM: Disentangling Risks to Enhance Safety Alignment in Multimodal Large Language Models
by: Liu, Jianyu, et al.
Published: (2025)

DREAM: Document Reconstruction via End-to-end Autoregressive Model
by: Li, Xin, et al.
Published: (2025)

Towards Benchmarking and Evaluating Deepfake Detection
by: Lin, Chenhao, et al.
Published: (2022)

Deepfake Detection via Knowledge Injection
by: Li, Tonghui, et al.
Published: (2025)

EVM-Fusion: An Explainable Vision Mamba Architecture with Neural Algorithmic Fusion
by: Yang, Zichuan, et al.
Published: (2025)

Listening Deepfake Detection: A New Perspective Beyond Speaking-Centric Forgery Analysis
by: Liu, Miao, et al.
Published: (2026)

Deepfake Forensics Adapter: A Dual-Stream Network for Generalizable Deepfake Detection
by: Liao, Jianfeng, et al.
Published: (2026)

Omni-Fake: Benchmarking Unified Multimodal Social Media Deepfake Detection
by: Li, Tianxiao, et al.
Published: (2026)

Learning Spatiotemporal Inconsistency via Thumbnail Layout for Face Deepfake Detection
by: Xu, Yuting, et al.
Published: (2024)

Diffusion Deepfake
by: Bhattacharyya, Chaitali, et al.
Published: (2024)

DREAM: Diffusion Rectification and Estimation-Adaptive Models
by: Zhou, Jinxin, et al.
Published: (2023)

Noise-Informed Diffusion-Generated Image Detection with Anomaly Attention
by: Guan, Weinan, et al.
Published: (2025)

Counterfactual Explanations for Face Forgery Detection via Adversarial Removal of Artifacts
by: Li, Yang, et al.
Published: (2024)

Linguistic Profiling of Deepfakes: An Open Database for Next-Generation Deepfake Detection
by: Wang, Yabin, et al.
Published: (2024)

Fact or Fake? Assessing the Role of Deepfake Detectors in Multimodal Misinformation Detection
by: Sagar, A S M Sharifuzzaman, et al.
Published: (2026)

Scaling Laws for Deepfake Detection
by: Wang, Wenhao, et al.
Published: (2025)

Latent Watermark: Inject and Detect Watermarks in Latent Diffusion Space
by: Meng, Zheling, et al.
Published: (2024)

AV-Deepfake1M++: A Large-Scale Audio-Visual Deepfake Benchmark with Real-World Perturbations
by: Cai, Zhixi, et al.
Published: (2025)

GM-DF: Generalized Multi-Scenario Deepfake Detection
by: Lai, Yingxin, et al.
Published: (2024)

Can We Leave Deepfake Data Behind in Training Deepfake Detector?
by: Cheng, Jikang, et al.
Published: (2024)

When Generative Replay Meets Evolving Deepfakes: Domain-Aware Relative Weighting for Incremental Face Forgery Detection
by: Shen, Hao, et al.
Published: (2025)

DREAM: Scalable Red Teaming for Text-to-Image Generative Systems via Distribution Modeling
by: Li, Boheng, et al.
Published: (2025)

Through the Lens: Benchmarking Deepfake Detectors Against Moiré-Induced Distortions
by: Tariq, Razaib, et al.
Published: (2025)

SynthForensics: Benchmarking and Evaluating People-Centric Synthetic Video Deepfakes
by: Leotta, Roberto, et al.
Published: (2026)

S^3D-NeRF: Single-Shot Speech-Driven Neural Radiance Field for High Fidelity Talking Head Synthesis
by: Li, Dongze, et al.
Published: (2024)

Leave No Stone Unturned: Uncovering Holistic Audio-Visual Intrinsic Coherence for Deepfake Detection
by: Peng, Jielun, et al.
Published: (2026)

Towards High Fidelity Face Swapping: A Comprehensive Survey and New Benchmark
by: Li, Qi, et al.
Published: (2026)

Dream-IF: Dynamic Relative EnhAnceMent for Image Fusion
by: Xu, Xingxin, et al.
Published: (2025)