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코드

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

https://github.com/antabangun/coex

DualRefine: Self-Supervised Depth and Pose Estimation Through Iterative Epipolar Sampling and Refinement Toward Equilibrium

https://github.com/antheali/3dpartassembly

Learning 3D Part Assembly from a Single Image

https://github.com/antoniolq/st-gcn

Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

https://github.com/anujdutt9/Artistic-Style-Transfer-using-Keras-Tensorflow

A Neural Algorithm of Artistic Style

https://github.com/anujdutt9/ESPCN

Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network

https://github.com/anujdutt9/LwPosr-PyTorch

LwPosr: Lightweight Efficient Fine-Grained Head Pose Estimation

https://github.com/anuragmundhada/3dpose-demo-iitb

Learning 3D Human Pose from Structure and Motion

https://github.com/aobaruwa/TensorFlow-Projects

A Neural Algorithm of Artistic Style

https://github.com/aoixcat/ACVAE-VC

ACVAE-VC: Non-parallel many-to-many voice conversion with auxiliary classifier variational autoencoder

https://github.com/apple/ml-live-pose

BundleFusion: Real-time Globally Consistent 3D Reconstruction using On-the-fly Surface Re-integration

https://github.com/apratimbhattacharyya18/CGM_BestOfMany

Accurate and Diverse Sampling of Sequences based on a "Best of Many" Sample Objective

https://github.com/aquib1011/Image-to-painting

A Neural Algorithm of Artistic Style

https://github.com/aquib1011/Neural-Style-Transfer

A Neural Algorithm of Artistic Style

https://github.com/arcadelab/DeepDRR

X-ray-transform Invariant Anatomical Landmark Detection for Pelvic Trauma Surgery

https://github.com/archie252000/NeuralStyleTransfer

A Neural Algorithm of Artistic Style

https://github.com/archinetai/bitcodes-pytorch

Autoregressive Image Generation using Residual Quantization

https://github.com/arjunarao619/SRCNN_Pytorch

Image Super-Resolution Using Deep Convolutional Networks

https://github.com/arnab39/cycleGAN-PyTorch

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/arnavdodiedo/Neural-Style-Transfer

A Neural Algorithm of Artistic Style

https://github.com/arnavdodiedo/dog2sketch

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/arnavdodiedo/sketch2face

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/arnoweng/CheXNet

CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning

https://github.com/arshd91/multitarget-voice-conversion-vctk

Multi-target Voice Conversion without Parallel Data by Adversarially Learning Disentangled Audio Representations

https://github.com/artem-gorodetskii/wikiart-latent-diffusion

High-Resolution Image Synthesis with Latent Diffusion Models

https://github.com/arthur-qiu/freenoise-lavie

LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion Models

https://github.com/arunos728/arunos728.github.io

IntegralAction: Pose-driven Feature Integration for Robust Human Action Recognition in Videos

https://github.com/arunt-sjsu/DL_Project

Toward Characteristic-Preserving Image-based Virtual Try-On Network

https://github.com/arvind1998/Neural-Style-Transfer

A Neural Algorithm of Artistic Style

https://github.com/aryan-mann/style-transfer

A Neural Algorithm of Artistic Style

https://github.com/aryan26roy/Neural-Style-Transfer

A Neural Algorithm of Artistic Style

https://github.com/asanakoy/deep_unsupervised_posets

Deep Unsupervised Similarity Learning using Partially Ordered Sets

https://github.com/ashawkey/RAD-NeRF

Real-time Neural Radiance Talking Portrait Synthesis via Audio-spatial Decomposition

https://github.com/ashley-kim521/11785-project-active-learning-for-YOLO

Learning Loss for Active Learning

https://github.com/ashura1234/soccer-line-detection

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

https://github.com/ashutosh1919/mdp-diffusion

MDP: A Generalized Framework for Text-Guided Image Editing by Manipulating the Diffusion Path

https://github.com/asif-hanif/baple

A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models

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