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3D Face Reconstruction
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3D Face Reconstruction is a computer vision task that involves creating a 3D model of a human face from a 2D image or a set of images. The goal of 3D face reconstruction is to reconstruct a digital 3D representation of a person's face, which can be used for various applications such as animation, virtual reality, and biometric identification.
<span style="color:grey; opacity: 0.6">( Image credit: 3DDFA_V2 )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/lxq1000/faceptor
공식 코드https://github.com/lxq1000/swinface
공식 코드https://github.com/lyp-deeplearning/mos-multi-task-face-detect
공식 코드https://github.com/machine-listeners-valencia/fsl_osr_dataset_baseline
공식 코드https://github.com/magnet300/camme
공식 코드CAMME: Adaptive Deepfake Image Detection with Multi-Modal Cross-Attention
https://github.com/mahdi-darvish/gans-augmented-pet-classifier
공식 코드https://github.com/mahehu/TUT-live-age-estimator
공식 코드https://github.com/mahmoods01/agns
공식 코드A General Framework for Adversarial Examples with Objectives
https://github.com/manavkulshrestha/imgprov
공식 코드PROVES: Establishing Image Provenance using Semantic Signatures
https://github.com/mantonios107/attrs-fr-embs
공식 코드Attributes Shape the Embedding Space of Face Recognition Models
https://github.com/manyilee/plada
공식 코드https://github.com/mapooon/blendface
공식 코드https://github.com/marcelowds/sr-sde
공식 코드Face Super-Resolution Using Stochastic Differential Equations
https://github.com/marcohuber/xssab
공식 코드Efficient Explainable Face Verification based on Similarity Score Argument Backpropagation
https://github.com/mariusarvinte/robust-face-verification
공식 코드https://github.com/martlgap/human-machine-fusion
공식 코드Tackling Face Verification Edge Cases: In-Depth Analysis and Human-Machine Fusion Approach
https://github.com/martlgap/octuplet-loss
공식 코드Octuplet Loss: Make Face Recognition Robust to Image Resolution
https://github.com/martlgap/x-face-verification
공식 코드Explainable Model-Agnostic Similarity and Confidence in Face Verification
https://github.com/matansel/pix2vertex
공식 코드Unrestricted Facial Geometry Reconstruction Using Image-to-Image Translation
https://github.com/matteoferrara/morphing-attack-potential
공식 코드https://github.com/mattgroh/cognitive-science-detecting-deepfakes
공식 코드Deepfake Detection by Human Crowds, Machines, and Machine-informed Crowds
https://github.com/maxdreyer/reveal2revise
공식 코드Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models
https://github.com/mcrl/udc-sit
공식 코드UDC-VIT: A Real-World Video Dataset for Under-Display Cameras
https://github.com/mdhosen/mask-face-inpainting-using-residual-attention-unet
공식 코드https://github.com/mdswyz/SISN-Face-Hallucination
공식 코드Face Hallucination via Split-Attention in Split-Attention Network
https://github.com/megvii-research/MM2022-ViCoPerceptualHeadGeneration
공식 코드Perceptual Conversational Head Generation with Regularized Driver and Enhanced Renderer
https://github.com/megvii-research/caddm
공식 코드Implicit Identity Leakage: The Stumbling Block to Improving Deepfake Detection Generalization
https://github.com/megvii-research/fst-matching
공식 코드https://github.com/mehrdadsaberi/watermark_robustness
공식 코드Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks
https://github.com/mehryaragha/NoseBiometrics
공식 코드Nasal Patches and Curves for Expression-robust 3D Face Recognition
https://github.com/meilfang/fairnessfacepad
공식 코드https://github.com/meilfang/lmfd-pad
공식 코드https://github.com/meilfang/spl-mad
공식 코드Unsupervised Face Morphing Attack Detection via Self-paced Anomaly Detection
https://github.com/meilfang/synthaspoof
공식 코드SynthASpoof: Developing Face Presentation Attack Detection Based on Privacy-friendly Synthetic Data
https://github.com/mesnico/idclip
공식 코드Towards Identity-Aware Cross-Modal Retrieval: a Dataset and a Baseline
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.