https://github.com/zhao-zilong/MotivationCaseStudies
공식 코드Enhancing Robustness of On-line Learning Models on Highly Noisy Data
Papers with Code 아카이브
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/zhaoweicai/mscnn
공식 코드A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection
https://github.com/zhaoyuzhi/childpredictor
공식 코드ChildPredictor: A Child Face Prediction Framework with Disentangled Learning
https://github.com/zhelishisongjie/ssfer
공식 코드https://github.com/zhenglab/ffdbackbone
공식 코드https://github.com/zhenglinzhou/star
공식 코드STAR Loss: Reducing Semantic Ambiguity in Facial Landmark Detection
https://github.com/zhenglisec/decision-based-mia
공식 코드https://github.com/zhenglisec/unganable
공식 코드https://github.com/zhengqinlai/imer-benchmark
공식 코드https://github.com/zhichaowang970201/text-to-video
공식 코드Text-to-Video: a Two-stage Framework for Zero-shot Identity-agnostic Talking-head Generation
https://github.com/zhihengli-UR/DebiAN
공식 코드Discover and Mitigate Unknown Biases with Debiasing Alternate Networks
https://github.com/zhipeixu/fakeshield
공식 코드https://github.com/zhiqiangdon/CU-Net
공식 코드Quantized Densely Connected U-Nets for Efficient Landmark Localization
https://github.com/zhiqic/keyposs
공식 코드KeyPosS: Plug-and-Play Facial Landmark Detection through GPS-Inspired True-Range Multilateration
https://github.com/zhiwenshao/ac2d
공식 코드https://github.com/zhongyy/Adversarial_MTER
공식 코드Adversarial Learning with Margin-based Triplet Embedding Regularization
https://github.com/zhongyy/Face-Transformer
공식 코드https://github.com/zhongyy/SFace
공식 코드SFace: Sigmoid-Constrained Hypersphere Loss for Robust Face Recognition
https://github.com/zhongyy/opom
공식 코드OPOM: Customized Invisible Cloak towards Face Privacy Protection
https://github.com/zhu00121/universal-representation-dynamics-of-deepfake-speech
공식 코드https://github.com/zhuccly/srn
공식 코드Reasoning Structural Relation for Occlusion-Robust Facial Landmark Localization
https://github.com/zhuhao-nju/describe3d
공식 코드High-Fidelity 3D Face Generation from Natural Language Descriptions
https://github.com/zhuhao-nju/facescape
공식 코드FaceScape: 3D Facial Dataset and Benchmark for Single-View 3D Face Reconstruction
https://github.com/zhuhao-nju/rafare
공식 코드RAFaRe: Learning Robust and Accurate Non-parametric 3D Face Reconstruction from Pseudo 2D&3D Pairs
https://github.com/zimzsh/cross-corpus-readability-compatibility-assessment-for-english-texts
공식 코드Cross-corpus Readability Compatibility Assessment for English Texts
https://github.com/ziqiao-shang/aunce
공식 코드Learning Contrastive Feature Representations for Facial Action Unit Detection
https://github.com/ziqihuangg/collaborative-diffusion
공식 코드Collaborative Diffusion for Multi-Modal Face Generation and Editing
https://github.com/zitongyu/flex-modal-fas
공식 코드https://github.com/zju-pi/awesome-diffusion-generated-image-detection
공식 코드Recent Advances on Generalizable Diffusion-generated Image Detection
https://github.com/zma-c-137/VarGFaceNet
공식 코드https://github.com/zoukaifeng/4dfm
공식 코드https://github.com/zouxinyi0625/cdnet
공식 코드https://github.com/zpguigroupwhu/meancut-clustering
공식 코드MeanCut: A Greedy-Optimized Graph Clustering via Path-based Similarity and Degree Descent Criterion
https://github.com/zqbai-jeremy/INORig
공식 코드https://github.com/zwx8981/adth-qa
공식 코드A Comparative Study of Perceptual Quality Metrics for Audio-driven Talking Head Videos
https://github.com/zyainfal/One-Shot-Face-Swapping-on-Megapixels
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.