Papers with Code 아카이브

3D Face Modelling

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보존된 평가 기록

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/aimagelab/COCOFake

공식 코드

Parents and Children: Distinguishing Multimodal DeepFakes from Natural Images

https://github.com/aimagelab/code

공식 코드

Contrasting Deepfakes Diffusion via Contrastive Learning and Global-Local Similarities

https://github.com/aimultimedialab/favci2d-face-verification-with-challenging-imposters-and-diversified-demographics

공식 코드

Face Verification with Challenging Imposters and Diversified Demographics

https://github.com/ait-lab/ggtde

공식 코드

Generalized Gaussian Temporal Difference Error for Uncertainty-aware Reinforcement Learning

https://github.com/ajev-research/agg-layers-deepfake-detection

공식 코드

Aggregating Layers for Deepfake Detection

https://github.com/albertpumarola/GANimation

공식 코드

GANimation: Anatomically-aware Facial Animation from a Single Image

https://github.com/ali-vilab/dreamtalk

공식 코드

DreamTalk: When Emotional Talking Head Generation Meets Diffusion Probabilistic Models

https://github.com/alibaba-miil/headsharingkd

공식 코드

It's All in the Head: Representation Knowledge Distillation through Classifier Sharing

https://github.com/alinlab/BAR

공식 코드

Learning from Failure: Training Debiased Classifier from Biased Classifier

https://github.com/aliprf/ASMNet

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ASMNet: a Lightweight Deep Neural Network for Face Alignment and Pose Estimation

https://github.com/aliprf/acr-loss

공식 코드

ACR Loss: Adaptive Coordinate-based Regression Loss for Face Alignment

https://github.com/aliprf/ganalyzer

공식 코드

GANalyzer: Analysis and Manipulation of GANs Latent Space for Controllable Face Synthesis

https://github.com/aliprf/kd-loss

공식 코드

Facial Landmark Points Detection Using Knowledge Distillation-Based Neural Networks

https://github.com/alldbi/FLM

공식 코드

Fast Geometrically-Perturbed Adversarial Faces

https://github.com/alonzolfi/adversarialmask

공식 코드

Adversarial Mask: Real-World Universal Adversarial Attack on Face Recognition Model

https://github.com/altndrr/clup

공식 코드

Cluster-level pseudo-labelling for source-free cross-domain facial expression recognition

https://github.com/amathislab/dmap

공식 코드

DMAP: a Distributed Morphological Attention Policy for Learning to Locomote with a Changing Body

https://github.com/amazon-research/gendered-profession-translations

공식 코드

Faithful Target Attribute Prediction in Neural Machine Translation

https://github.com/amazon-research/meta-q-learning

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Meta-Q-Learning

https://github.com/amazon-research/replay-based-recurrent-rl

공식 코드

Task-Agnostic Continual Reinforcement Learning: Gaining Insights and Overcoming Challenges

https://github.com/amazon-science/replay-based-recurrent-rl

공식 코드

Task-Agnostic Continual Reinforcement Learning: Gaining Insights and Overcoming Challenges

https://github.com/amilkh/cs230-fer

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Facial Expression Recognition with Deep Learning

https://github.com/aminesi/robustness-on-device

공식 코드

Robustness Analysis of Deep Learning Frameworks on Mobile Platforms

https://github.com/amir-karimi96/continuous-time-continuous-option-policy-gradient

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Dynamic Decision Frequency with Continuous Options

https://github.com/amoonfana/fastface

공식 코드

FastFace: Fast-converging Scheduler for Large-scale Face Recognition Training with One GPU

https://github.com/anandkamat05/TDEOC

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Diversity-Enriched Option-Critic

https://github.com/andrekassis/DiffBreak

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DiffBreak: Is Diffusion-Based Purification Robust?

https://github.com/andrekassis/ai-watermark

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UnMarker: A Universal Attack on Defensive Image Watermarking

https://github.com/andresprados/spiga

공식 코드

Shape Preserving Facial Landmarks with Graph Attention Networks

https://github.com/angelomenezes/Pytorch_Face_SR

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Analysis and evaluation of Deep Learning based Super-Resolution algorithms to improve performance in Low-Resolution Face Recognition

https://github.com/anger-man/unsupervised-depth-estimation

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Unsupervised Single-shot Depth Estimation using Perceptual Reconstruction

https://github.com/anguyen8/deepface-emd

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DeepFace-EMD: Re-ranking Using Patch-wise Earth Mover's Distance Improves Out-Of-Distribution Face Identification

https://github.com/anguyen8/face-vit

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Fast and Interpretable Face Identification for Out-Of-Distribution Data Using Vision Transformers

https://github.com/anhttran/extreme_3d_faces

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Extreme 3D Face Reconstruction: Seeing Through Occlusions

https://github.com/anjith2006/bob.paper.cross_modal_focal_loss_cvpr2021

공식 코드

Cross Modal Focal Loss for RGBD Face Anti-Spoofing

https://github.com/anjith2006/bob.paper.deep_pix_bis_pad.icb2019

공식 코드

Deep Pixel-wise Binary Supervision for Face Presentation Attack Detection

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