https://github.com/ymx2022/3dfacetexture
공식 코드Self-supervised Re-renderable Facial Albedo Reconstruction from Single Image
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/yoctta/multiple-attention
공식 코드https://github.com/yongyizang/SingFake
공식 코드https://github.com/youngLBW/HRN
공식 코드https://github.com/youqingxiaozhua/apvit
공식 코드Vision Transformer with Attentive Pooling for Robust Facial Expression Recognition
https://github.com/yuangan/VidFace
공식 코드VidFace: A Full-Transformer Solver for Video FaceHallucination with Unaligned Tiny Snapshots
https://github.com/yuangan/eat_code
공식 코드Efficient Emotional Adaptation for Audio-Driven Talking-Head Generation
https://github.com/yuangan/silencer
공식 코드https://github.com/yuankaishen2001/Self-adjusting-AU
공식 코드Multi-scale Promoted Self-adjusting Correlation Learning for Facial Action Unit Detection
https://github.com/yuankaishen2001/auformer
공식 코드AUFormer: Vision Transformers are Parameter-Efficient Facial Action Unit Detectors
https://github.com/yule-li/MassFace
공식 코드MassFace: an efficient implementation using triplet loss for face recognition
https://github.com/yuleung/mixbct
공식 코드https://github.com/yulu0724/EmbeddingDistillation
공식 코드Learning Metrics from Teachers: Compact Networks for Image Embedding
https://github.com/yunan-wang33/sdml
공식 코드Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning
https://github.com/yunyikristy/global_local
공식 코드https://github.com/yuval-alaluf/SAM
공식 코드Only a Matter of Style: Age Transformation Using a Style-Based Regression Model
https://github.com/yvesalexandre/convnet-metadata
공식 코드Modeling the Temporal Nature of Human Behavior for Demographics Prediction
https://github.com/yvonnemamama/ggd
공식 코드https://github.com/yylgoodlucky/hdtr
공식 코드https://github.com/yyx-future/la-cmfer
공식 코드https://github.com/yzy-stack/effort-aigi-detection
공식 코드Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection
https://github.com/yzyouzhang/asvspoof2021_air
공식 코드UR Channel-Robust Synthetic Speech Detection System for ASVspoof 2021
https://github.com/zamdimon/distortion-generator
공식 코드Unrecognizable Yet Identifiable: Image Distortion with Preserved Embeddings
https://github.com/zblasingame/DiM
공식 코드Leveraging Diffusion For Strong and High Quality Face Morphing Attacks
https://github.com/zblasingame/Greedy-DiM
공식 코드Greedy-DiM: Greedy Algorithms for Unreasonably Effective Face Morphs
https://github.com/zczcwh/poster
공식 코드POSTER: A Pyramid Cross-Fusion Transformer Network for Facial Expression Recognition
https://github.com/zengbohan0217/FNeVR
공식 코드https://github.com/zengbohan0217/fadm
공식 코드https://github.com/zengqunzhao/exp-clip
공식 코드Enhancing Zero-Shot Facial Expression Recognition by LLM Knowledge Transfer
https://github.com/zeroqiaoba/gpt4v-emotion
공식 코드GPT-4V with Emotion: A Zero-shot Benchmark for Generalized Emotion Recognition
https://github.com/zerosansan/fg2020_abaw
공식 코드Deep Convolutional Neural Network Based Facial Expression Recognition in the Wild
https://github.com/zfkarl/leaf
공식 코드LEAF: Unveiling Two Sides of the Same Coin in Semi-supervised Facial Expression Recognition
https://github.com/zhangchenxu528/FACIAL
공식 코드FACIAL: Synthesizing Dynamic Talking Face with Implicit Attribute Learning
https://github.com/zhangdatalab/chgat
공식 코드https://github.com/zhangmenghe/mediapipe
공식 코드FaceAtlasAR: Atlas of Facial Acupuncture Points in Augmented Reality
https://github.com/zhangqianhui/tt-gnerf
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.