https://github.com/tueboesen/a-optimal-active-learning
Cost-Effective Active Learning for Deep Image Classification
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/tungdt92/GFA-CNN
Learning Generalizable and Identity-Discriminative Representations for Face Anti-Spoofing
https://github.com/tuvovan/Zero_DCE_TF
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
https://github.com/tuyentv2009/Face-Recognition-
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/twyunting/Deepfake_Video_Classifier
FaceForensics++: Learning to Detect Manipulated Facial Images
https://github.com/u7javed/Image-Enhancer-via-ESRGAN
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/u7javed/Image-Super-Resolution-Enhancer-via-ESRGAN
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
https://github.com/udaya2899/deepfake-detection
Exposing DeepFake Videos By Detecting Face Warping Artifacts
https://github.com/ugail/FaciaIBeautyIEEESKIMA2023
https://github.com/uladzislau-varabei/progressively_growing_gan
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/umd-fire-coml/2020-Face-Generation
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/umgupta/2d-slice-set-networks
https://github.com/umitkacar/ai-edge-computing
Convergence of Edge Computing and Deep Learning: A Comprehensive Survey
https://github.com/ung200/thats-what-obama-said
https://github.com/unsky/RetinaNet
https://github.com/unsky/focal-loss
https://github.com/ut-vision/rot-mvgaze
Learning-by-Novel-View-Synthesis for Full-Face Appearance-Based 3D Gaze Estimation
https://github.com/v-trungdt21/MaskTheFace
https://github.com/valentingol/GANJax
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/vantupham/darknet
https://github.com/varununleashed/tiny_faces_temp
https://github.com/vbonifaci/l1opt
https://github.com/vicksam/fer-model
Training Deep Networks for Facial Expression Recognition with Crowd-Sourced Label Distribution
https://github.com/viebboy/MultilinearCompressiveLearningWithPrior
https://github.com/viethungluu/OCRetina
https://github.com/vijishmadhavan/SkinDeep
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/vikramkarthikeyan/Face-R-FCN
Detecting Faces Using Region-based Fully Convolutional Networks
https://github.com/vill-lab/2024-aaai-hpt
https://github.com/vinairesearch/lemul
https://github.com/vinayakkailas/Face_Recognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/vincent-thevenin/Realistic-Neural-Talking-Head-Models
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
https://github.com/vincenthanna/facenet_on_mnist
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/vinits5/learning3d
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/vinx-2105/madgan-degan
https://github.com/vipermu/ganimation
GANimation: Anatomically-aware Facial Animation from a Single Image
https://github.com/visionNoob/hrnet_pytorch
High-Resolution Representations for Labeling Pixels and Regions
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.