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/rddy/pico

공식 코드

Pragmatic Image Compression for Human-in-the-Loop Decision-Making

https://github.com/realityengines/post_hoc_debiasing

공식 코드

Intra-Processing Methods for Debiasing Neural Networks

https://github.com/recluzegeek/AWARE-NET

공식 코드

AWARE-NET: Adaptive Weighted Averaging for Robust Ensemble Network in Deepfake Detection

https://github.com/redcping/Delta_Age_AdaIN

공식 코드

DAA: A Delta Age AdaIN operation for age estimation via binary code transformer

https://github.com/renderme-360/renderme-360

공식 코드

RenderMe-360: A Large Digital Asset Library and Benchmarks Towards High-fidelity Head Avatars

https://github.com/renmin1991/perturbation-inactivate

공식 코드

Perturbation Inactivation Based Adversarial Defense for Face Recognition

https://github.com/resibots/blackdrops

공식 코드

Black-Box Data-efficient Policy Search for Robotics

https://github.com/resibots/kaushik_2018_multi-dex

공식 코드

Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards

https://github.com/rgb91/temporal-deepfake-segmentation

공식 코드

Undercover Deepfakes: Detecting Fake Segments in Videos

https://github.com/riaduli/thresholded_event_vision_face_dataset

공식 코드

Descriptor: Face Detection Dataset for Programmable Threshold-Based Sparse-Vision

https://github.com/rickyang2016/bayesian-soft-actor-critic--bsac

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Bayesian Soft Actor-Critic: A Directed Acyclic Strategy Graph Based Deep Reinforcement Learning

https://github.com/ringbdstack/sisa

공식 코드

Hierarchical State Abstraction Based on Structural Information Principles

https://github.com/rinuboney/fpac

공식 코드

Learning of feature points without additional supervision improves reinforcement learning from images

https://github.com/rinuboney/keyq

공식 코드

Learning of feature points without additional supervision improves reinforcement learning from images

https://github.com/ristea/xmad-bench

공식 코드

XMAD-Bench: Cross-Domain Multilingual Audio Deepfake Benchmark

https://github.com/rizhaocai/metapattern_fas

공식 코드

Learning Meta Pattern for Face Anti-Spoofing

https://github.com/rl-tools/rl-tools

공식 코드

RLtools: A Fast, Portable Deep Reinforcement Learning Library for Continuous Control

https://github.com/rlit/LatentRANSAC

공식 코드

Latent RANSAC

https://github.com/rll-research/url_benchmark

공식 코드

URLB: Unsupervised Reinforcement Learning Benchmark

https://github.com/rllab/rllab

공식 코드

Benchmarking Deep Reinforcement Learning for Continuous Control

https://github.com/rlr-smu/flow-pg

공식 코드

FlowPG: Action-constrained Policy Gradient with Normalizing Flows

https://github.com/rmsander/interreplay

공식 코드

Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks

https://github.com/rmst/rlrd

공식 코드

Reinforcement Learning with Random Delays

https://github.com/rmst/rtrl

공식 코드

Real-Time Reinforcement Learning

https://github.com/rmushfiqur2/deepfake_op_rel

공식 코드

Individualized Deepfake Detection Exploiting Traces Due to Double Neural-Network Operations

https://github.com/roberttlange/evosax

공식 코드

Discovering Evolution Strategies via Meta-Black-Box Optimization

https://github.com/robfiras/ls-iq

공식 코드

LS-IQ: Implicit Reward Regularization for Inverse Reinforcement Learning

https://github.com/robintyh1/onpolicybaselines

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Discretizing Continuous Action Space for On-Policy Optimization

https://github.com/rohdelab/drcdt_face

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Local Sliced-Wasserstein Feature Sets for Illumination-invariant Face Recognition

https://github.com/rohit7044/3D-GANTex

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3D-GANTex: 3D Face Reconstruction with StyleGAN3-based Multi-View Images and 3DDFA based Mesh Generation

https://github.com/ronny3050/PrimateFaceRecognition

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Face Recognition: Primates in the Wild

https://github.com/roosephu/slbo

공식 코드

Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees

https://github.com/rooshy-yang/becl

공식 코드

Behavior Contrastive Learning for Unsupervised Skill Discovery

https://github.com/roscibely/Gender-Classification

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Predicting Gender by First Name Using Character-level Machine Learning

https://github.com/royorel/FFHQ-Aging-Dataset

공식 코드

Lifespan Age Transformation Synthesis

https://github.com/royorel/Lifespan_Age_Transformation_Synthesis

공식 코드

Lifespan Age Transformation Synthesis

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