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3D Shape Reconstruction from Videos

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코드

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

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/ductuantruong/tcm_add

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Temporal-Channel Modeling in Multi-head Self-Attention for Synthetic Speech Detection

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/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-asp/rawnet2-antispoofing

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End-to-end anti-spoofing with RawNet2

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

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

https://github.com/facebookresearch/banmo

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BANMo: Building Animatable 3D Neural Models from Many Casual Videos

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/gengshan-y/rac

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Reconstructing Animatable Categories from Videos

https://github.com/ghuawhu/end-to-end-synthetic-speech-detection

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Towards End-to-End Synthetic Speech Detection

https://github.com/gilikn/fakeout

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FakeOut: Leveraging Out-of-domain Self-supervision for Multi-modal Video Deepfake Detection

https://github.com/google/lasr

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LASR: Learning Articulated Shape Reconstruction from a Monocular Video

https://github.com/grip-unina/poi-forensics

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Audio-Visual Person-of-Interest DeepFake Detection

https://github.com/highwaywu/st-ddl

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Exploring Spatial-Temporal Features for Deepfake Detection and Localization

https://github.com/honghanh2104/t2a-think-twice-before-adaptation

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Think Twice before Adaptation: Improving Adaptability of DeepFake Detection via Online Test-Time Adaptation

https://github.com/hongshuochen/DefakeHop

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DefakeHop: A Light-Weight High-Performance Deepfake Detector

https://github.com/huangjiadidi/DeepFakeMnist

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DeepFake MNIST+: A DeepFake Facial Animation Dataset

https://github.com/iamwangyabin/poundnet

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Penny-Wise and Pound-Foolish in Deepfake Detection

https://github.com/ictmcg/dna-det

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Deepfake Network Architecture Attribution

https://github.com/idt-iti/xai-deepfakes

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Towards Quantitative Evaluation of Explainable AI Methods for Deepfake Detection

https://github.com/jenine-321/genface

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GenFace: A Large-Scale Fine-Grained Face Forgery Benchmark and Cross Appearance-Edge Learning

https://github.com/jessegator/sonar

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Where are we in audio deepfake detection? A systematic analysis over generative and detection models

https://github.com/jmpu/webconf21-deepfakes-in-the-wild

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Deepfake Videos in the Wild: Analysis and Detection

https://github.com/l8cv/busterx

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BusterX: MLLM-Powered AI-Generated Video Forgery Detection and Explanation

https://github.com/lab4d-org/lab4d

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Reconstructing Animatable Categories from Videos

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