3D Face Modelling
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 2
- 평가표
- 2
- 보존된 평가 기록
- 3
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/autonomousvehiclelaboratory/anonymization
공식 코드https://github.com/aviralkumar2907/CQL
공식 코드https://github.com/awskhalil/oscar
공식 코드https://github.com/awslabs/cis-matching-tasks
공식 코드https://github.com/axeber01/dold
공식 코드https://github.com/azadlab/FExGAN
공식 코드https://github.com/azadlab/FExGAN-Meta
공식 코드https://github.com/azgo14/classification_metric_learning
공식 코드Classification is a Strong Baseline for Deep Metric Learning
https://github.com/azrealwang/sgadv
공식 코드Similarity-based Gray-box Adversarial Attack Against Deep Face Recognition
https://github.com/baidu/AdvBox
공식 코드Advbox: a toolbox to generate adversarial examples that fool neural networks
https://github.com/baimingc/dambrl
공식 코드Delay-Aware Model-Based Reinforcement Learning for Continuous Control
https://github.com/bairdzhang/smallhardface
공식 코드Robust Face Detection via Learning Small Faces on Hard Images
https://github.com/baitingluo/l-map
공식 코드Scalable Decision-Making in Stochastic Environments through Learned Temporal Abstraction
https://github.com/baiyangwang/emgan
공식 코드https://github.com/baoshengyu/H3R
공식 코드https://github.com/barisbatuhan/dass_det_inference
공식 코드Domain-Adaptive Self-Supervised Pre-Training for Face & Body Detection in Drawings
https://github.com/barisbatuhan/dass_detector
공식 코드Domain-Adaptive Self-Supervised Pre-Training for Face & Body Detection in Drawings
https://github.com/barisgecer/OSTeC
공식 코드https://github.com/barisgecer/TBGAN
공식 코드Synthesizing Coupled 3D Face Modalities by Trunk-Branch Generative Adversarial Networks
https://github.com/barisgecer/facegan
공식 코드https://github.com/barisgecer/ganfit
공식 코드GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction
https://github.com/barulalithb/stereo-angular-margin
공식 코드Improvising the Learning of Neural Networks on Hyperspherical Manifold
https://github.com/batra-mlp-lab/va_mbrl
공식 코드https://github.com/baturaysaglam/ac-off-poc
공식 코드https://github.com/baturaysaglam/dase
공식 코드Safe and Robust Experience Sharing for Deterministic Policy Gradient Algorithms
https://github.com/baturaysaglam/discover
공식 코드Deep Intrinsically Motivated Exploration in Continuous Control
https://github.com/baturaysaglam/la3p
공식 코드https://github.com/baturaysaglam/swtd3
공식 코드https://github.com/bbenligiray/greedy-face-features
공식 코드https://github.com/bellmantimehut/dipo
공식 코드Policy Representation via Diffusion Probability Model for Reinforcement Learning
https://github.com/bghojogh/Face-Gender-Recognition-Fusion
공식 코드A Fusion-based Gender Recognition Method Using Facial Images
https://github.com/bghojogh/Pixel-Aligned-Face-Recognition
공식 코드Pixel-Level Alignment of Facial Images for High Accuracy Recognition Using Ensemble of Patches
https://github.com/bghojogh/Roweis-Discriminant-Analysis
공식 코드Roweis Discriminant Analysis: A Generalized Subspace Learning Method
https://github.com/bghojogh/Roweisposes
공식 코드Roweisposes, Including Eigenposes, Supervised Eigenposes, and Fisherposes, for 3D Action Recognition
https://github.com/bghojogh/Weighted-Fisher-Discriminant-Analysis
공식 코드Weighted Fisher Discriminant Analysis in the Input and Feature Spaces
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.