Papers with Code 아카이브

Face Swapping

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

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/clad23/clad

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CLAD: Robust Audio Deepfake Detection Against Manipulation Attacks with Contrastive Learning

https://github.com/clpeng/Awesome-Face-Forgery-Generation-and-Detection

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Countering Malicious DeepFakes: Survey, Battleground, and Horizon

https://github.com/cnnlstm/fslsd_hires

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High-resolution Face Swapping via Latent Semantics Disentanglement

https://github.com/controlnet/av-deepfake1m

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AV-Deepfake1M: A Large-Scale LLM-Driven Audio-Visual Deepfake Dataset

https://github.com/croitorualin/biodeep

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Deepfake Media Generation and Detection in the Generative AI Era: A Survey and Outlook

https://github.com/cutz-j/FDFtNet

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FDFtNet: Facing Off Fake Images using Fake Detection Fine-tuning Network

https://github.com/cyjie429/rego

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Region-Based Optimization in Continual Learning for Audio Deepfake Detection

https://github.com/danmohaha/celeb-deepfakeforensics

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Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics

https://github.com/dash-lab/fakeavceleb

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FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset

https://github.com/davidcombei/ai4t

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Unmasking real-world audio deepfakes: A data-centric approach

https://github.com/davide-coccomini/Combining-EfficientNet-and-Vision-Transformers-for-Video-Deepfake-Detection

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Combining EfficientNet and Vision Transformers for Video Deepfake Detection

https://github.com/davide-coccomini/Combining-EfficientNet-and-Vision-Transformersfor-Video-Deepfake-Detection

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Combining EfficientNet and Vision Transformers for Video Deepfake Detection

https://github.com/davide-coccomini/Cross-Forgery-Analysis-of-Vision-Transformers-and-CNNs-for-Deepfake-Image-Detection

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Cross-Forgery Analysis of Vision Transformers and CNNs for Deepfake Image Detection

https://github.com/davide-coccomini/adversarial-magnification-to-deceive-deepfake-detection-through-super-resolution

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Adversarial Magnification to Deceive Deepfake Detection through Super Resolution

https://github.com/davide-coccomini/deepfake-detection-without-deepfakes-generalization-via-synthetic-frequency-patterns-injection

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Deepfake Detection without Deepfakes: Generalization via Synthetic Frequency Patterns Injection

https://github.com/davide-coccomini/mintime-multi-identity-size-invariant-timesformer-for-video-deepfake-detection

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MINTIME: Multi-Identity Size-Invariant Video Deepfake Detection

https://github.com/deepfakeil/dfil

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DFIL: Deepfake Incremental Learning by Exploiting Domain-invariant Forgery Clues

https://github.com/deezer/deepfake-detector

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Detecting music deepfakes is easy but actually hard

https://github.com/dflip3k/dflip-3k

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Linguistic Profiling of Deepfakes: An Open Database for Next-Generation Deepfake Detection

https://github.com/dineshsrivasthav/adaptive_meta_learning_with_multi_agent_framework

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Adaptive Meta-Learning for Robust Deepfake Detection: A Multi-Agent Framework to Data Drift and Model Generalization

https://github.com/dnn-security/gan-watermark

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PTW: Pivotal Tuning Watermarking for Pre-Trained Image Generators

https://github.com/dominickrei/limited-data-vits

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Limited Data, Unlimited Potential: A Study on ViTs Augmented by Masked Autoencoders

https://github.com/e4s2023/e4s2023

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E4S: Fine-grained Face Swapping via Editing With Regional GAN Inversion

https://github.com/e4s2024/e4s2024

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E4S: Fine-grained Face Swapping via Editing With Regional GAN Inversion

https://github.com/erprogs/CViT

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Deepfake Video Detection Using Convolutional Vision Transformer

https://github.com/erprogs/genconvit

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Deepfake Video Detection Using Generative Convolutional Vision Transformer

https://github.com/eurecom-asp/malafide

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Malafide: a novel adversarial convolutive noise attack against deepfake and spoofing detection systems

https://github.com/eurecom-asp/pc-darts-anti-spoofing

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Partially-Connected Differentiable Architecture Search for Deepfake and Spoofing Detection

https://github.com/eurecom-asp/raw-pc-darts-anti-spoofing

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Raw Differentiable Architecture Search for Speech Deepfake and Spoofing Detection

https://github.com/eurecom-asp/rawgat-st-antispoofing

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End-to-End Spectro-Temporal Graph Attention Networks for Speaker Verification Anti-Spoofing and Speech Deepfake Detection

https://github.com/eurecom-fscv/2d-malafide

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2D-Malafide: Adversarial Attacks Against Face Deepfake Detection Systems

https://github.com/faysal-md/unmasking-deepfake-faces-from-videos-an-explainable-cost-sensitive-deep-learning-approach-ieee2023

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Unmasking Deepfake Faces from Videos Using An Explainable Cost-Sensitive Deep Learning Approach

https://github.com/fedeloper/binary_deepfake_detection

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Faster Than Lies: Real-time Deepfake Detection using Binary Neural Networks

https://github.com/felixrosberg/facedancer

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FaceDancer: Pose- and Occlusion-Aware High Fidelity Face Swapping

https://github.com/flyingby/awesome-deepfake-generation-and-detection

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Deepfake Generation and Detection: A Benchmark and Survey

https://github.com/freddiemg/btd--unsupervised-detection-of-medical-deepfakes

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Back-in-Time Diffusion: Unsupervised Detection of Medical Deepfakes

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.