https://github.com/tejaswigowda/semseg-pytorch
High-Resolution Representations for Labeling Pixels and Regions
Papers with Code 아카이브
3D Face Reconstruction
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 9
- 보존된 평가 기록
- 94
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/tencentarc/opencompatible
Towards Universal Backward-Compatible Representation Learning
https://github.com/tensorflow/models
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/tensorflow/models/tree/master/research/audioset
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/tensorflow/models/tree/master/research/deeplab
https://github.com/tensorflow/models/tree/master/research/slim
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/tensorpack/tensorpack
https://github.com/tensorpack/tensorpack/tree/master/examples/ResNet
https://github.com/text-machine-lab/transformerpy
https://github.com/textvec/textvec
Inverse-Category-Frequency based supervised term weighting scheme for text categorization
https://github.com/tg-bomze/Face-Depixelizer
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
https://github.com/tgeorgy/mgan
GANimation: Anatomically-aware Facial Animation from a Single Image
https://github.com/thanhhungqb/pyramid-super-resolution
https://github.com/the-super-toys/glimpse-models
https://github.com/thearod5/calorie-predictor
CYBORG: Blending Human Saliency Into the Loss Improves Deep Learning
https://github.com/thenhz/progressive_growing_of_gan
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/thepowerfuldeez/facemesh.pytorch
Real-time Facial Surface Geometry from Monocular Video on Mobile GPUs
https://github.com/thongdk8/realtime-facereccpp
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/thu-ml/realsafe
RobFR: Benchmarking Adversarial Robustness on Face Recognition
https://github.com/thughost2/Padam
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/tiagoCuervo/JapaNet
https://github.com/tianhai123/yolov3
https://github.com/timesler/facenet-pytorch
https://github.com/timothylimyl/PointNet-Pytorch
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/timsainb/GAIA
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/tkuanlun350/Kaggle_Ship_Detection_2018
Training Region-based Object Detectors with Online Hard Example Mining
https://github.com/tmdgus1237/HelloWorld2018-2
https://github.com/tomas-gajarsky/facetorch
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/tomasjakab/imm
Unsupervised Learning of Object Landmarks through Conditional Image Generation
https://github.com/toufiksk/darknet
https://github.com/towhee-io/towhee
https://github.com/townim-faisal/Revisiting-Pixel-Wise-Supervision-for-Face-Anti-Spoofing
https://github.com/trachpro/arcface-tf2
https://github.com/trachpro/insightFace_v2
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/travismyers19/Vulnerable_Buildings
https://github.com/trongnghia00/darknet
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.