Papers with Code 아카이브

3D Face Reconstruction

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법 전체 데이터셋

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/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/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

https://github.com/lxq1000/dfa-instruct

공식 코드

Towards Interactive Deepfake Analysis

https://github.com/lxq1000/faceptor

공식 코드

Faceptor: A Generalist Model for Face Perception

https://github.com/lxq1000/swinface

공식 코드

SwinFace: A Multi-task Transformer for Face Recognition, Expression Recognition, Age Estimation and Attribute Estimation

https://github.com/lyp-deeplearning/mos-multi-task-face-detect

공식 코드

MOS: A Low Latency and Lightweight Framework for Face Detection, Landmark Localization, and Head Pose Estimation

https://github.com/machine-listeners-valencia/fsl_osr_dataset_baseline

공식 코드

An Open-set Recognition and Few-Shot Learning Dataset for Audio Event Classification in Domestic Environments

https://github.com/magnet300/camme

공식 코드

CAMME: Adaptive Deepfake Image Detection with Multi-Modal Cross-Attention

https://github.com/mahdi-darvish/gans-augmented-pet-classifier

공식 코드

Towards Fine-grained Image Classification with Generative Adversarial Networks and Facial Landmark Detection

https://github.com/mahehu/TUT-live-age-estimator

공식 코드

Real Time System for Facial Analysis

https://github.com/mahmoods01/agns

공식 코드

A General Framework for Adversarial Examples with Objectives

https://github.com/manavkulshrestha/imgprov

공식 코드

PROVES: Establishing Image Provenance using Semantic Signatures

https://github.com/mantonios107/attrs-fr-embs

공식 코드

Attributes Shape the Embedding Space of Face Recognition Models

https://github.com/manyilee/plada

공식 코드

Pay Less Attention to Deceptive Artifacts: Robust Detection of Compressed Deepfakes on Online Social Networks

https://github.com/mapooon/blendface

공식 코드

BlendFace: Re-designing Identity Encoders for Face-Swapping

https://github.com/marcelowds/sr-sde

공식 코드

Face Super-Resolution Using Stochastic Differential Equations

https://github.com/marcohuber/xssab

공식 코드

Efficient Explainable Face Verification based on Similarity Score Argument Backpropagation

https://github.com/mariusarvinte/robust-face-verification

공식 코드

Robust Face Verification via Disentangled Representations

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