https://github.com/lelechen63/talking-head-generation-survey
공식 코드What comprises a good talking-head video generation?: A Survey and Benchmark
Papers with Code 아카이브
Facial Recognition and Modelling
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Facial tasks in machine learning operate based on images or video frames (or other datasets) focussed on human faces.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/leminhbinh0209/add
공식 코드https://github.com/lemuelpuglisi/synthba
공식 코드SynthBA: Reliable Brain Age Estimation Across Multiple MRI Sequences and Resolutions
https://github.com/leo7r/swiftface
공식 코드https://github.com/leoxiaobin/deep-high-resolution-net.pytorch
공식 코드High-Resolution Representations for Labeling Pixels and Regions
https://github.com/lexieyang/face_img_inpainting
공식 코드https://github.com/lhyfst/dsfnet
공식 코드DSFNet: Dual Space Fusion Network for Occlusion-Robust 3D Dense Face Alignment
https://github.com/li-8023/multi-function-face-recognition
공식 코드https://github.com/li-wanhua/label2label
공식 코드Label2Label: A Language Modeling Framework for Multi-Attribute Learning
https://github.com/liangchen527/sladd
공식 코드Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection
https://github.com/lidan1/PhotoSketchMAN
공식 코드High-Quality Facial Photo-Sketch Synthesis Using Multi-Adversarial Networks
https://github.com/ligaripash/KWtQ-face-alignment
공식 코드https://github.com/ligaripash/facecoresetnet
공식 코드FaceCoresetNet: Differentiable Coresets for Face Set Recognition
https://github.com/lightdxy/ict_deepfake
공식 코드Protecting Celebrities from DeepFake with Identity Consistency Transformer
https://github.com/lingxiao-he/Partial-Person-ReID
공식 코드https://github.com/liqi-casia/faceswapper
공식 코드Learning Disentangled Representation for One-shot Progressive Face Swapping
https://github.com/lisha-chen/Deep-structured-facial-landmark-detection
공식 코드https://github.com/lissomx/MSP
공식 코드Latent Space Factorisation and Manipulation via Matrix Subspace Projection
https://github.com/littlejuyan/df_fairness
공식 코드https://github.com/liu-tianchi/nes2net
공식 코드Nes2Net: A Lightweight Nested Architecture for Foundation Model Driven Speech Anti-spoofing
https://github.com/liuf1990/3DFC
공식 코드https://github.com/liuhw01/Norface
공식 코드Norface: Improving Facial Expression Analysis by Identity Normalization
https://github.com/liutaocode/DiffDub
공식 코드DiffDub: Person-generic Visual Dubbing Using Inpainting Renderer with Diffusion Auto-encoder
https://github.com/liuwei16/CSP
공식 코드Center and Scale Prediction: Anchor-free Approach for Pedestrian and Face Detection
https://github.com/liuyuisanai/trojans-face-recognizer
공식 코드https://github.com/liuyvchi/NROLL
공식 코드Boosting Semi-Supervised Face Recognition with Noise Robustness
https://github.com/liuyvchi/mie-x
공식 코드How to Synthesize a Large-Scale and Trainable Micro-Expression Dataset?
https://github.com/liuzhengzhe/Global_Texture_Enhancement_for_Fake_Face_Detection_in_the-Wild
공식 코드Global Texture Enhancement for Fake Face Detection in the Wild
https://github.com/liwenchao0615/zerrinnet
공식 코드Zero-Shot Enhancement of Low-Light Image Based on Retinex Decomposition
https://github.com/lizhaoliu-Lec/DAS
공식 코드https://github.com/lizhenwangt/faceverse
공식 코드FaceVerse: a Fine-grained and Detail-controllable 3D Face Morphable Model from a Hybrid Dataset
https://github.com/ljj898/cmdfd-dataset-and-deepfake-detection
공식 코드Explicit Correlation Learning for Generalizable Cross-Modal Deepfake Detection
https://github.com/ljuvela/collaborative-watermarking-with-codecs
공식 코드Audio Codec Augmentation for Robust Collaborative Watermarking of Speech Synthesis
https://github.com/ljw-git/arbitrary_resolution_rppg
공식 코드Learning Motion-Robust Remote Photoplethysmography through Arbitrary Resolution Videos
https://github.com/lmbxmu/EPruner
공식 코드https://github.com/longph1989/Socrates
공식 코드SOCRATES: Towards a Unified Platform for Neural Network Analysis
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.