https://github.com/DeokyunKim/Progressive-Face-Super-Resolution
공식 코드Progressive Face Super-Resolution via Attention to Facial Landmark
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Progressive Face Super-Resolution via Attention to Facial Landmark
Face Synthesis from Visual Attributes via Sketch using Conditional VAEs and GANs
GP-GAN: Gender Preserving GAN for Synthesizing Faces from Landmarks
GP-GAN: Gender Preserving GAN for Synthesizing Faces from Landmarks
RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition
Triple consistency loss for pairing distributions in GAN-based face synthesis
DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection
Fake face detection via adaptive manipulation traces extraction network
Cross-Age Contrastive Learning for Age-Invariant Face Recognition
General Facial Representation Learning in a Visual-Linguistic Manner
Generalized Face Liveness Detection via De-fake Face Generator
StyleHEAT: One-Shot High-Resolution Editable Talking Face Generation via Pre-trained StyleGAN
InsTaG: Learning Personalized 3D Talking Head from Few-Second Video
MeInGame: Create a Game Character Face from a Single Portrait
Write-a-speaker: Text-based Emotional and Rhythmic Talking-head Generation
AdvFAS: A robust face anti-spoofing framework against adversarial examples
Generalized Presentation Attack Detection: a face anti-spoofing evaluation proposal
SCUT-FBP5500: A Diverse Benchmark Dataset for Multi-Paradigm Facial Beauty Prediction
AU-Expression Knowledge Constrained Representation Learning for Facial Expression Recognition
Adversarial Graph Representation Adaptation for Cross-Domain Facial Expression Recognition
EDFace-Celeb-1M: Benchmarking Face Hallucination with a Million-scale Dataset
Rotate-and-Render: Unsupervised Photorealistic Face Rotation from Single-View Images
Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.