Papers with Code 아카이브

3D Face Modelling

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

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/davide-coccomini/mintime-multi-identity-size-invariant-timesformer-for-video-deepfake-detection

공식 코드

MINTIME: Multi-Identity Size-Invariant Video Deepfake Detection

https://github.com/davidsandberg/facenet

공식 코드

Longitudinal Study of Child Face Recognition

https://github.com/ddw2aigroup2cqupt/mgrl

공식 코드

Multi-Granularity Representation Learning for Sketch-based Dynamic Face Image Retrieval

https://github.com/ddw2aigroup2cqupt/slfir

공식 코드

Sketch Less Face Image Retrieval: A New Challenge

https://github.com/dee0512/Temporally-Layered-Architecture

공식 코드

Optimizing Attention and Cognitive Control Costs Using Temporally-Layered Architectures

https://github.com/deepalianeja/CharacterLipSync2D

공식 코드

Real-Time Lip Sync for Live 2D Animation

https://github.com/deepbrainai-research/koeba

공식 코드

DisCoHead: Audio-and-Video-Driven Talking Head Generation by Disentangled Control of Head Pose and Facial Expressions

https://github.com/deepcam-cn/facequality

공식 코드

EQFace: A Simple Explicit Quality Network for Face Recognition

https://github.com/deepcam-cn/yolov5-face

공식 코드

YOLO5Face: Why Reinventing a Face Detector

https://github.com/deepfakeil/dfil

공식 코드

DFIL: Deepfake Incremental Learning by Exploiting Domain-invariant Forgery Clues

https://github.com/deepinsight/insightface

공식 코드

ArcFace: Additive Angular Margin Loss for Deep Face Recognition

https://github.com/deepinsight/insightface/tree/master/challenges/cvpr23-fas-wild

공식 코드

Wild Face Anti-Spoofing Challenge 2023: Benchmark and Results

https://github.com/deepinsight/insightface/tree/master/recognition/partial_fc

공식 코드

Partial FC: Training 10 Million Identities on a Single Machine

https://github.com/deeplsd/merkel-podcast-corpus

공식 코드

Merkel Podcast Corpus: A Multimodal Dataset Compiled from 16 Years of Angela Merkel's Weekly Video Podcasts

https://github.com/deepmind/dm_control

공식 코드

DeepMind Control Suite

https://github.com/deepmind/spriteworld

공식 코드

COBRA: Data-Efficient Model-Based RL through Unsupervised Object Discovery and Curiosity-Driven Exploration

https://github.com/deezer/deepfake-detector

공식 코드

Detecting music deepfakes is easy but actually hard

https://github.com/deezer/sigir2019-2stagesampling

공식 코드

Improving Collaborative Metric Learning with Efficient Negative Sampling

https://github.com/delaprada/handsynthesis

공식 코드

Analyzing the Synthetic-to-Real Domain Gap in 3D Hand Pose Estimation

https://github.com/denisyarats/drq

공식 코드

Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels

https://github.com/denisyarats/proto

공식 코드

Reinforcement Learning with Prototypical Representations

https://github.com/desikrengarajan/fedora

공식 코드

Federated Ensemble-Directed Offline Reinforcement Learning

https://github.com/dflip3k/dflip-3k

공식 코드

Linguistic Profiling of Deepfakes: An Open Database for Next-Generation Deepfake Detection

https://github.com/dgragnaniello/PQP

공식 코드

Perceptual Quality-preserving Black-Box Attack against Deep Learning Image Classifiers

https://github.com/dhruvms/DenseTrafficEval

공식 코드

Driving in Dense Traffic with Model-Free Reinforcement Learning

https://github.com/dhruvms/HighwayTraffic

공식 코드

Driving in Dense Traffic with Model-Free Reinforcement Learning

https://github.com/dig-beihang/ami

공식 코드

Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority Influence

https://github.com/dineshsrivasthav/adaptive_meta_learning_with_multi_agent_framework

공식 코드

Adaptive Meta-Learning for Robust Deepfake Detection: A Multi-Agent Framework to Data Drift and Model Generalization

https://github.com/dituu/Semi-Siamese-Training

공식 코드

Semi-Siamese Training for Shallow Face Learning

https://github.com/ditzley/joint-gestures-and-face

공식 코드

Joint Co-Speech Gesture and Expressive Talking Face Generation using Diffusion with Adapters

https://github.com/dkangin/baselines

공식 코드

On-Policy Trust Region Policy Optimisation with Replay Buffers

https://github.com/dkollias/fair-consistent-affect-analysis

공식 코드

Rethinking Affect Analysis: A Protocol for Ensuring Fairness and Consistency

https://github.com/dlpbc/nm-metarl

공식 코드

Context Meta-Reinforcement Learning via Neuromodulation

https://github.com/dmksjfl/DARC

공식 코드

Efficient Continuous Control with Double Actors and Regularized Critics

https://github.com/dmksjfl/GD3

공식 코드

Value Activation for Bias Alleviation: Generalized-activated Deep Double Deterministic Policy Gradients

https://github.com/dnn-security/gan-watermark

공식 코드

PTW: Pivotal Tuning Watermarking for Pre-Trained Image Generators

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