Papers with Code 아카이브

Face Swapping

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하위 태스크: 0
평가표: 4
보존된 평가 기록: 23

Face swapping refers to the task of swapping faces between images or in an video, while maintaining the rest of the body and environment context.

<span style="color:grey; opacity: 0.6">( Image credit: Swapped Face Detection using Deep Learning and Subjective Assessment )</span>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/10ring/laa-net

공식 코드

LAA-Net: Localized Artifact Attention Network for Quality-Agnostic and Generalizable Deepfake Detection

https://github.com/AKASH2907/deepfakes_video_classification

공식 코드

Detecting Deepfakes with Metric Learning

https://github.com/AntonFirc/diffusion-deepfake-speech-dataset

공식 코드

Diffuse or Confuse: A Diffusion Deepfake Speech Dataset

https://github.com/ApGa/adversarial_deepfakes

공식 코드

Adversarial Perturbations Fool Deepfake Detectors

https://github.com/ChenqiKONG/OSDFD

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Open-Set Deepfake Detection: A Parameter-Efficient Adaptation Method with Forgery Style Mixture

https://github.com/Clench/TAR_resAE

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TAR: Generalized Forensic Framework to Detect Deepfakes using Weakly Supervised Learning

https://github.com/ControlNet/LAV-DF

공식 코드

Glitch in the Matrix: A Large Scale Benchmark for Content Driven Audio-Visual Forgery Detection and Localization

https://github.com/ControlNet/MARLIN

공식 코드

MARLIN: Masked Autoencoder for facial video Representation LearnINg

https://github.com/Coral79/CDDB

공식 코드

A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials

https://github.com/DariusAf/MesoNet

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MesoNet: a Compact Facial Video Forgery Detection Network

https://github.com/EndlessSora/DeeperForensics-1.0

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DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection

https://github.com/EricGzq/AMTENnet

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Fake face detection via adaptive manipulation traces extraction network

https://github.com/Helix-IIIT-Delhi/COFFE-Singing_Voice_Deepfake

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Towards Source Attribution of Singing Voice Deepfake with Multimodal Foundation Models

https://github.com/IDT-ITI/Adv-XAI-Deepfakes

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Improving the Perturbation-Based Explanation of Deepfake Detectors Through the Use of Adversarially-Generated Samples

https://github.com/Jessegator/Audio_robustness_evaluation

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Measuring the Robustness of Audio Deepfake Detectors

https://github.com/KamruzzamanAsif/BanglaFake

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BanglaFake: Constructing and Evaluating a Specialized Bengali Deepfake Audio Dataset

https://github.com/Leminhbinh0209/AAAI22-ADD

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ADD: Frequency Attention and Multi-View based Knowledge Distillation to Detect Low-Quality Compressed Deepfake Images

https://github.com/LetterLiGo/SafeEar

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SafeEar: Content Privacy-Preserving Audio Deepfake Detection

https://github.com/MZMMSEC/SJEDD

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Semantics-Oriented Multitask Learning for DeepFake Detection: A Joint Embedding Approach

https://github.com/Meta-Portrait/MetaPortrait

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MetaPortrait: Identity-Preserving Talking Head Generation with Fast Personalized Adaptation

https://github.com/NetaGlazer/ADD-GP

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Few-Shot Speech Deepfake Detection Adaptation with Gaussian Processes

https://github.com/NickyFot/HitchhikersGuide

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A Hitchhikers Guide to Fine-Grained Face Forgery Detection Using Common Sense Reasoning

https://github.com/NuayHL/TimeStepGenerating

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Time Step Generating: A Universal Synthesized Deepfake Image Detector

https://github.com/OpenRL-Lab/DeepFakeFace

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Robustness and Generalizability of Deepfake Detection: A Study with Diffusion Models

https://github.com/OpenTAI/wild-deepfake

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WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection

https://github.com/PalomaCantero/Deepfake-Detection-and-the-Impact-of-Limited-Computing-Capabilities

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Deepfake Detection and the Impact of Limited Computing Capabilities

https://github.com/Seanseattle/MobileFaceSwap

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MobileFaceSwap: A Lightweight Framework for Video Face Swapping

https://github.com/TencentYoutuResearch/OpenWorld-DeepFakeAttribution

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Contrastive Pseudo Learning for Open-World DeepFake Attribution

https://github.com/UTAustin-SwarmLab/SecureSpectra

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SecureSpectra: Safeguarding Digital Identity from Deep Fake Threats via Intelligent Signatures

https://github.com/WillHawkins3/deepfakesondemand

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Deepfakes on Demand: the rise of accessible non-consensual deepfake image generators

https://github.com/YZY-stack/DF40

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DF40: Toward Next-Generation Deepfake Detection

https://github.com/Yuto-Matsunaga/Prompt_Tuning_for_Audio_Deepfake_Detection

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Prompt Tuning for Audio Deepfake Detection: Computationally Efficient Test-time Domain Adaptation with Limited Target Dataset

https://github.com/YuvalNirkin/fsgan

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FSGAN: Subject Agnostic Face Swapping and Reenactment

https://github.com/aakash4305/gbdf

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GBDF: Gender Balanced DeepFake Dataset Towards Fair DeepFake Detection

https://github.com/aaroncomo/lipfd

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Lips Are Lying: Spotting the Temporal Inconsistency between Audio and Visual in Lip-Syncing DeepFakes

https://github.com/abhinavdhall/deepfake

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Not made for each other- Audio-Visual Dissonance-based Deepfake Detection and Localization

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