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/ndrwmlnk/deep-face-generation-and-editing-a-survey
공식 코드https://github.com/negarhdr/diversified-facial-expression-recognition
공식 코드Learning Diversified Feature Representations for Facial Expression Recognition in the Wild
https://github.com/nenadmarkus/pico
공식 코드Object Detection with Pixel Intensity Comparisons Organized in Decision Trees
https://github.com/nerminsamet/HPRNet
공식 코드HPRNet: Hierarchical Point Regression for Whole-Body Human Pose Estimation
https://github.com/netopedro/idistill
공식 코드Unveiling the Two-Faced Truth: Disentangling Morphed Identities for Face Morphing Detection
https://github.com/netopedro/ocfr-2022
공식 코드https://github.com/netopedro/orthomad
공식 코드OrthoMAD: Morphing Attack Detection Through Orthogonal Identity Disentanglement
https://github.com/neuralchen/SimSwap
공식 코드SimSwap: An Efficient Framework For High Fidelity Face Swapping
https://github.com/neuromorphic-paris/frog
공식 코드A Framework for Event-based Computer Vision on a Mobile Device
https://github.com/nhshin-mcl/mwr
공식 코드Moving Window Regression: A Novel Approach to Ordinal Regression
https://github.com/niccobiondi/cores-compatibility
공식 코드https://github.com/nice-x/dfgc-2022
공식 코드https://github.com/nicksunday/deepfake-music-detector
공식 코드https://github.com/nickyfot/emoclip
공식 코드EmoCLIP: A Vision-Language Method for Zero-Shot Video Facial Expression Recognition
https://github.com/nii-yamagishilab/AfriHuBERT
공식 코드AfriHuBERT: A self-supervised speech representation model for African languages
https://github.com/nii-yamagishilab/antideepfake
공식 코드https://github.com/nii-yamagishilab/ssl_vits_df
공식 코드Exploring Self-Supervised Vision Transformers for Deepfake Detection: A Comparative Analysis
https://github.com/nilslukas/gan-watermark
공식 코드PTW: Pivotal Tuning Watermarking for Pre-Trained Image Generators
https://github.com/ningyu1991/ArtificialGANFingerprints
공식 코드Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data
https://github.com/nithin-gk/t2v-ddpm
공식 코드T2V-DDPM: Thermal to Visible Face Translation using Denoising Diffusion Probabilistic Models
https://github.com/nkjcqvcpi/asr
공식 코드https://github.com/noboevbo/pedrec
공식 코드PedRecNet: Multi-task deep neural network for full 3D human pose and orientation estimation
https://github.com/nomewang/mcf
공식 코드https://github.com/nordlinglab/facealignment-survey
공식 코드A survey and classification of face alignment methods based on face models
https://github.com/nothingelse92/AnchorFace
공식 코드AnchorFace: An Anchor-based Facial Landmark Detector Across Large Poses
https://github.com/nowindbutrain/blockshufflelearning
공식 코드https://github.com/ntubiolin/xcos
공식 코드xCos: An Explainable Cosine Metric for Face Verification Task
https://github.com/nuriachandra/deepfake-eval-2024
공식 코드Deepfake-Eval-2024: A Multi-Modal In-the-Wild Benchmark of Deepfakes Circulated in 2024
https://github.com/nvedant07/Fairness-Through-Robustness
공식 코드Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning
https://github.com/nxsEdson/MLCR
공식 코드Multi-label Co-regularization for Semi-supervised Facial Action Unit Recognition
https://github.com/nyu-dice-lab/circumventing-concept-erasure
공식 코드Circumventing Concept Erasure Methods For Text-to-Image Generative Models
https://github.com/nz0001na/mad_maf
공식 코드Fusion-based Few-Shot Morphing Attack Detection and Fingerprinting
https://github.com/o-ikne/emotion-gan
공식 코드https://github.com/oarriaga/face_classification
공식 코드Real-time Convolutional Neural Networks for Emotion and Gender Classification
https://github.com/oidelima/Deepfake-Detection
공식 코드Deepfake Detection using Spatiotemporal Convolutional Networks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.