https://github.com/wuhaozhe/style_avatar
공식 코드Imitating Arbitrary Talking Style for Realistic Audio-DrivenTalking Face Synthesis
Papers with Code 아카이브
3D Face Reconstruction
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 9
- 보존된 평가 기록
- 94
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/wuqiuche/micromotion-stylegan
공식 코드https://github.com/wuyangluo/reffaceinpainting
공식 코드Reference-Guided Large-Scale Face Inpainting with Identity and Texture Control
https://github.com/wuzipengyl/itarget-interpretable-tailored-age-regression-for-grouped-epigenetic-traits
공식 코드iTARGET: Interpretable Tailored Age Regression for Grouped Epigenetic Traits
https://github.com/wxzyd123/pivotal_objective_perturbation
공식 코드Mitigating Unauthorized Speech Synthesis for Voice Protection
https://github.com/wxzyd123/safespeech
공식 코드SafeSpeech: Robust and Universal Voice Protection Against Malicious Speech Synthesis
https://github.com/wy1iu/sphereface
공식 코드https://github.com/wykstc/MERC-main
공식 코드Joyful: Joint Modality Fusion and Graph Contrastive Learning for Multimodal Emotion Recognition
https://github.com/wywu/LAB
공식 코드https://github.com/wywu/ReenactGAN
공식 코드https://github.com/wznpub/MMA_Regularization
공식 코드MMA Regularization: Decorrelating Weights of Neural Networks by Maximizing the Minimal Angles
https://github.com/xf1994/ECML
공식 코드ECML: An Ensemble Cascade Metric Learning Mechanism towards Face Verification
https://github.com/xhp-hust-2018-2011/dcreg
공식 코드https://github.com/xianhua-he/cvpr2024-face-anti-spoofing-challenge
공식 코드Joint Physical-Digital Facial Attack Detection Via Simulating Spoofing Clues
https://github.com/xianyunsun/vra
공식 코드https://github.com/xiaoboCASIA/SV-X-Softmax
공식 코드https://github.com/xiaojie1017/Human-Parts
공식 코드https://github.com/xieyuankun/Codecfake
공식 코드The Codecfake Dataset and Countermeasures for the Universally Detection of Deepfake Audio
https://github.com/xieyuankun/all-type-add
공식 코드Detect All-Type Deepfake Audio: Wavelet Prompt Tuning for Enhanced Auditory Perception
https://github.com/xieyuankun/alm-add
공식 코드Does Current Deepfake Audio Detection Model Effectively Detect ALM-based Deepfake Audio?
https://github.com/xieyuankun/fsd-dataset
공식 코드https://github.com/xieyuankun/st-codecfake
공식 코드Neural Codec Source Tracing: Toward Comprehensive Attribution in Open-Set Condition
https://github.com/xieyuankun/tdl-add
공식 코드https://github.com/xilin1991/Large-scale-Multi-illumination-HR-Database
공식 코드Image Enhancement for Remote Photoplethysmography in a Low-Light Environment
https://github.com/xingzhehe/AutoLink-Self-supervised-Learning-of-Human-Skeletons-and-Object-Outlines-by-Linking-Keypoints
공식 코드AutoLink: Self-supervised Learning of Human Skeletons and Object Outlines by Linking Keypoints
https://github.com/xingzhehe/ganseg
공식 코드GANSeg: Learning to Segment by Unsupervised Hierarchical Image Generation
https://github.com/xinntao/ESRGAN
공식 코드ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/xinqi-fan/ABAW2021
공식 코드Spatial and Temporal Networks for Facial Expression Recognition in the Wild Videos
https://github.com/xix-ai/antispoofing
공식 코드Generalizable Method for Face Anti-Spoofing with Semi-Supervised Learning
https://github.com/xiyinmsu/MultiTask-CNN
공식 코드Multi-Task Convolutional Neural Network for Pose-Invariant Face Recognition
https://github.com/xjchengit/singgraph
공식 코드https://github.com/xjtupanda/auw-gcn
공식 코드AU-aware graph convolutional network for Macro- and Micro-expression spotting
https://github.com/xk-huang/OrdinalCLIP
공식 코드OrdinalCLIP: Learning Rank Prompts for Language-Guided Ordinal Regression
https://github.com/xmba15/ai4eo_map_your_city
공식 코드Building Age Estimation: A New Multi-Modal Benchmark Dataset and Community Challenge
https://github.com/xmed-lab/ucvme
공식 코드https://github.com/xtinkt/editable
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.