Papers with Code 아카이브

3D Face Modelling

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코드

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

https://github.com/sherrycattt/REGDet

공식 코드

Recurrent Exposure Generation for Low-Light Face Detection

https://github.com/shighghyujie/newpatch-rl

공식 코드

Simultaneously Optimizing Perturbations and Positions for Black-box Adversarial Patch Attacks

https://github.com/shiluo1990/SFA

공식 코드

SFA: Small Faces Attention Face Detector

https://github.com/shiluo1990/bdc

공식 코드

Bounding-box deep calibration for high performance face detection

https://github.com/shimmer-ghq/deepfidelity

공식 코드

DeepFidelity: Perceptual Forgery Fidelity Assessment for Deepfake Detection

https://github.com/shrezaei/Target-Agnostic-Attack

공식 코드

A Target-Agnostic Attack on Deep Models: Exploiting Security Vulnerabilities of Transfer Learning

https://github.com/shripaddeshmukh/xrl_with_trajectories

공식 코드

Explaining RL Decisions with Trajectories

https://github.com/shuchaoduan/qafe-net

공식 코드

QAFE-Net: Quality Assessment of Facial Expressions with Landmark Heatmaps

https://github.com/shukla-yash/lsts-icaps-24

공식 코드

Logical Specifications-guided Dynamic Task Sampling for Reinforcement Learning Agents

https://github.com/shuvenduroy/activefer

공식 코드

Active Learning with Contrastive Pre-training for Facial Expression Recognition

https://github.com/shuvenduroy/ssl_fer

공식 코드

Analysis of Semi-Supervised Methods for Facial Expression Recognition

https://github.com/shuvenduroy/ssl_fer_ood

공식 코드

Exploring the Boundaries of Semi-Supervised Facial Expression Recognition using In-Distribution, Out-of-Distribution, and Unconstrained Data

https://github.com/si0wang/pdml

공식 코드

Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy

https://github.com/siddiquelatif/URDU-Dataset

공식 코드

Cross Lingual Speech Emotion Recognition: Urdu vs. Western Languages

https://github.com/silence-tang/artnerf

공식 코드

ArtNeRF: A Stylized Neural Field for 3D-Aware Cartoonized Face Synthesis

https://github.com/silvialaurapintea/reg-cls

공식 코드

A step towards understanding why classification helps regression

https://github.com/simogroup/3dfair

공식 코드

3D Facial Imperfection Regeneration: Deep learning approach and 3D printing prototypes

https://github.com/siyuanlee/hess

공식 코드

Active Hierarchical Exploration with Stable Subgoal Representation Learning

https://github.com/skjack/diffusionfake

공식 코드

DiffusionFake: Enhancing Generalization in Deepfake Detection via Guided Stable Diffusion

https://github.com/skrantidatta/lipinc

공식 코드

Exposing Lip-syncing Deepfakes from Mouth Inconsistencies

https://github.com/skrantidatta/lipinc-v2

공식 코드

Detecting Lip-Syncing Deepfakes: Vision Temporal Transformer for Analyzing Mouth Inconsistencies

https://github.com/skylar-sutherland/single-scan-3dmms

공식 코드

Building 3D Morphable Models from a Single Scan

https://github.com/slundberg/shap

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Explaining deep learning models for spoofing and deepfake detection with SHapley Additive exPlanations

https://github.com/smile-ffg/he-man-concrete

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HE-MAN -- Homomorphically Encrypted MAchine learning with oNnx models

https://github.com/smuelpeng/sgps-noisefreedml

공식 코드

Enhancing Sample Utilization in Noise-Robust Deep Metric Learning With Subgroup-Based Positive-Pair Selection

https://github.com/snu-mllab/EMI

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EMI: Exploration with Mutual Information

https://github.com/soanagno/wakenet

공식 코드

Accelerated wind farm yaw and layout optimisation with multi-fidelity deep transfer learning wake models

https://github.com/socialabubi/iFakeFaceDB

공식 코드

GANprintR: Improved Fakes and Evaluation of the State of the Art in Face Manipulation Detection

https://github.com/sohailahmedkhan/CLIPping-the-Deception

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CLIPping the Deception: Adapting Vision-Language Models for Universal Deepfake Detection

https://github.com/soheilb/multimodal_dictionary_learning

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Multimodal Task-Driven Dictionary Learning for Image Classification

https://github.com/soltoggio/ct-graph

공식 코드

Context Meta-Reinforcement Learning via Neuromodulation

https://github.com/somuchtome/faceswap

공식 코드

Face Swap via Diffusion Model

https://github.com/songluchuan/adasr-talkinghead

공식 코드

Adaptive Super Resolution For One-Shot Talking-Head Generation

https://github.com/sowmen/face-cutout

공식 코드

Towards Solving the DeepFake Problem : An Analysis on Improving DeepFake Detection using Dynamic Face Augmentation

https://github.com/sowwnn/KFusion-Dual-Domain-for-Speech-to-Landmarks

공식 코드

KAN-Based Fusion of Dual-Domain for Audio-Driven Facial Landmarks Generation

https://github.com/spaghettisystems/emotion_whisper

공식 코드

Towards Generalizable SER: Soft Labeling and Data Augmentation for Modeling Temporal Emotion Shifts in Large-Scale Multilingual Speech

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