https://github.com/Juyong/CaricatureFace
공식 코드Landmark Detection and 3D Face Reconstruction for Caricature using a Nonlinear Parametric Model
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Caricature is a pictorial representation or description that deliberately exaggerates a person’s distinctive features or peculiarities to create an easily identifiable visual likeness with a comic effect. This vivid art form contains the concepts of abstraction, simplification and exaggeration.
Source: Alive Caricature from 2D to 3D
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Landmark Detection and 3D Face Reconstruction for Caricature using a Nonlinear Parametric Model
Unsupervised Domain Attention Adaptation Network for Caricature Attribute Recognition
Weakly-supervised Caricature Face Parsing through Domain Adaptation
Dynamic Deep Multi-task Learning for Caricature-Visual Face Recognition
CoMPosT: Characterizing and Evaluating Caricature in LLM Simulations
3D-CariGAN: An End-to-End Solution to 3D Caricature Generation from Face Photos
Learning to Zoom: a Saliency-Based Sampling Layer for Neural Networks
StyleCariGAN: Caricature Generation via StyleGAN Feature Map Modulation
AutoToon: Automatic Geometric Warping for Face Cartoon Generation
CariMe: Unpaired Caricature Generation with Multiple Exaggerations
CariMe: Unpaired Caricature Generation with Multiple Exaggerations
Deep Cross Modal Learning for Caricature Verification and Identification(CaVINet)
Towards Multi-domain Face Landmark Detection with Synthetic Data from Diffusion model
Unpaired Photo-to-Caricature Translation on Faces in the Wild
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.