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Face Model

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코드

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

https://github.com/mmlofficial/MALIVAR-ML-Engineer-Test

CONFIG: Controllable Neural Face Image Generation

https://github.com/mrtornado24/next3d

Next3D: Generative Neural Texture Rasterization for 3D-Aware Head Avatars

https://github.com/pterhoer/FaceImageQuality

SER-FIQ: Unsupervised Estimation of Face Image Quality Based on Stochastic Embedding Robustness

https://github.com/pterhoer/FingerprintImageQuality

SER-FIQ: Unsupervised Estimation of Face Image Quality Based on Stochastic Embedding Robustness

https://github.com/rjaisw12/3DFaceFitting

Photorealistic Facial Texture Inference Using Deep Neural Networks

https://github.com/shridharrhegde/vgg-age

Deep Convolutional Neural Network for Age Estimation based on VGG-Face Model

https://github.com/sibozhang/Text2Video

Text-based Editing of Talking-head Video

https://github.com/vsitzmann/scene-representation-networks

Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations

https://github.com/yfeng95/deca

Learning an Animatable Detailed 3D Face Model from In-The-Wild Images

https://github.com/zielon/insta

Instant Volumetric Head Avatars

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