Papers with Code 아카이브

Facial Recognition and Modelling

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법 전체 데이터셋

하위 태스크: 26
평가표: 0
보존된 평가 기록: 0

Facial tasks in machine learning operate based on images or video frames (or other datasets) focussed on human faces.

코드

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

https://github.com/lisha-chen/Deep-structured-facial-landmark-detection

공식 코드

Deep Structured Prediction for Facial Landmark Detection

https://github.com/lissomx/MSP

공식 코드

Latent Space Factorisation and Manipulation via Matrix Subspace Projection

https://github.com/littlejuyan/df_fairness

공식 코드

Improving Fairness in Deepfake Detection

https://github.com/liu-tianchi/nes2net

공식 코드

Nes2Net: A Lightweight Nested Architecture for Foundation Model Driven Speech Anti-spoofing

https://github.com/liuf1990/3DFC

공식 코드

3D Face Modeling From Diverse Raw Scan Data

https://github.com/liuhw01/Norface

공식 코드

Norface: Improving Facial Expression Analysis by Identity Normalization

https://github.com/liutaocode/DiffDub

공식 코드

DiffDub: Person-generic Visual Dubbing Using Inpainting Renderer with Diffusion Auto-encoder

https://github.com/liuwei16/CSP

공식 코드

Center and Scale Prediction: Anchor-free Approach for Pedestrian and Face Detection

https://github.com/liuyuisanai/trojans-face-recognizer

공식 코드

Towards Flops-constrained Face Recognition

https://github.com/liuyvchi/NROLL

공식 코드

Boosting Semi-Supervised Face Recognition with Noise Robustness

https://github.com/liuyvchi/mie-x

공식 코드

How to Synthesize a Large-Scale and Trainable Micro-Expression Dataset?

https://github.com/liuzhengzhe/Global_Texture_Enhancement_for_Fake_Face_Detection_in_the-Wild

공식 코드

Global Texture Enhancement for Fake Face Detection in the Wild

https://github.com/liwenchao0615/zerrinnet

공식 코드

Zero-Shot Enhancement of Low-Light Image Based on Retinex Decomposition

https://github.com/lizhaoliu-Lec/DAS

공식 코드

DAS: Densely-Anchored Sampling for Deep Metric Learning

https://github.com/lizhenwangt/faceverse

공식 코드

FaceVerse: a Fine-grained and Detail-controllable 3D Face Morphable Model from a Hybrid Dataset

https://github.com/ljj898/cmdfd-dataset-and-deepfake-detection

공식 코드

Explicit Correlation Learning for Generalizable Cross-Modal Deepfake Detection

https://github.com/ljuvela/collaborative-watermarking-with-codecs

공식 코드

Audio Codec Augmentation for Robust Collaborative Watermarking of Speech Synthesis

https://github.com/ljw-git/arbitrary_resolution_rppg

공식 코드

Learning Motion-Robust Remote Photoplethysmography through Arbitrary Resolution Videos

https://github.com/lmbxmu/EPruner

공식 코드

Network Pruning using Adaptive Exemplar Filters

https://github.com/longph1989/Socrates

공식 코드

SOCRATES: Towards a Unified Platform for Neural Network Analysis

https://github.com/louisbearing/hmo-audio

공식 코드

A Comprehensive Multi-scale Approach for Speech and Dynamics Synchrony in Talking Head Generation

https://github.com/louisbearing/unconditionalheadmotion

공식 코드

Autoregressive GAN for Semantic Unconditional Head Motion Generation

https://github.com/lovesiamesecat/favit

공식 코드

Generalized Face Forgery Detection via Adaptive Learning for Pre-trained Vision Transformer

https://github.com/lsibabnikz/ai-kd

공식 코드

AI-KD: Towards Alignment Invariant Face Image Quality Assessment Using Knowledge Distillation

https://github.com/lsibabnikz/faceqan

공식 코드

FaceQAN: Face Image Quality Assessment Through Adversarial Noise Exploration

https://github.com/lsibabnikz/optimization-based-improvement-of-fiqa-techniques

공식 코드

Optimization-Based Improvement of Face Image Quality Assessment Techniques

https://github.com/lsy0882/FakeMix

공식 코드

WWW: Where, Which and Whatever Enhancing Interpretability in Multimodal Deepfake Detection

https://github.com/ltrottier/deep-collaboration-network

공식 코드

Multi-Task Learning by Deep Collaboration and Application in Facial Landmark Detection

https://github.com/lucasxlu/TransFBP

공식 코드

Transferring Rich Deep Features for Facial Beauty Prediction

https://github.com/luisrui/seeing-ai-system

공식 코드

Masked Face Dataset Generation and Masked Face Recognition

https://github.com/lukasstruppek/class_attribute_inference_attacks

공식 코드

Class Attribute Inference Attacks: Inferring Sensitive Class Information by Diffusion-Based Attribute Manipulations

https://github.com/lukecq1231/generalized-pooling

공식 코드

Enhancing Sentence Embedding with Generalized Pooling

https://github.com/lupaopao/gpt4affectivity

공식 코드

GPT as Psychologist? Preliminary Evaluations for GPT-4V on Visual Affective Computing

https://github.com/lustoo/fghv

공식 코드

Feature Generation and Hypothesis Verification for Reliable Face Anti-Spoofing

https://github.com/luxiangju-PersonAI/iCartoonFace

공식 코드

Cartoon Face Recognition: A Benchmark Dataset

https://github.com/lwkjjonak/quantum_neural_network_classifiers

공식 코드

Quantum Neural Network Classifiers: A Tutorial

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.