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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/caiy0220/xproax

Educating Text Autoencoders: Latent Representation Guidance via Denoising

https://github.com/cal-app/slow-NST

A Neural Algorithm of Artistic Style

https://github.com/calipos/SuperGlue_NCNN

SuperGlue: Learning Feature Matching with Graph Neural Networks

https://github.com/camilocarvajalreyes/sfws-stable-diffusion

High-Resolution Image Synthesis with Latent Diffusion Models

https://github.com/caoquan95/6D-pose-project

PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes

https://github.com/capstonecs42/GeNeVA_datasets_dev

Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction

https://github.com/cardboard-q/pifuhd_demo_model_test

PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization

https://github.com/carlosholivan/musicaiz

MMM : Exploring Conditional Multi-Track Music Generation with the Transformer

https://github.com/carlthome/pmqd

Perceiving Music Quality with GANs

https://github.com/carnotaur/CycleGAN

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

https://github.com/carpedm20/simulated-unsupervised-tensorflow

Learning from Simulated and Unsupervised Images through Adversarial Training

https://github.com/casia-iva-lab/zbs

Obj2Seq: Formatting Objects as Sequences with Class Prompt for Visual Tasks

https://github.com/casiopa/Madrid_Rooftops

Mask R-CNN

https://github.com/cataai/posex

Uni-Mol Docking V2: Towards Realistic and Accurate Binding Pose Prediction

https://github.com/ccc013/DeepLearning_Notes

DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Images

https://github.com/cecile-hi/regularized-adaptive-weight-modification

What to Remember: Self-Adaptive Continual Learning for Audio Deepfake Detection

https://github.com/cene555/Imagen-pytorch

Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding

https://github.com/cersar/3D_detection

3D Bounding Box Estimation Using Deep Learning and Geometry

https://github.com/cgebbe/kaggle_pku-autonomous-driving

Objects as Points

https://github.com/chandyalex/Darkpose_Tensorflow

Distribution-Aware Coordinate Representation for Human Pose Estimation

https://github.com/changliu816/CV-paper-review

Non-local Neural Networks

https://github.com/chanyn/3Dpose_ssl

Convolutional Pose Machines

https://github.com/chao-ji/image-translation

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

https://github.com/charchit7/QuickDraw-App

Generative Adversarial Text to Image Synthesis

https://github.com/charlesYangM/py-faster-rcnn-80.28

Mask R-CNN

https://github.com/charlesshang/fastmaskrcnn

Mask R-CNN

https://github.com/chenchao15/2d_projection_matching

Unsupervised Learning of Shape and Pose with Differentiable Point Clouds

https://github.com/chengche6230/rest

Graph Neural Networks for Cross-Camera Data Association

https://github.com/chengguixiong1010/rnn_STAF_2dpose

Convolutional Pose Machines

https://github.com/chengjiali/DensePose3

DensePose: Dense Human Pose Estimation In The Wild

https://github.com/chengtan9907/simvpv2

Visual Attention Network

https://github.com/chenguolin/DiffSplat

SV3D: Novel Multi-view Synthesis and 3D Generation from a Single Image using Latent Video Diffusion

https://github.com/chengxuduan/advhmp

Learning Trajectory Dependencies for Human Motion Prediction

https://github.com/chenqikkl/Qi

Stable and Controllable Neural Texture Synthesis and Style Transfer Using Histogram Losses

https://github.com/chenwu98/cycle-diffusion

Prompt-to-Prompt Image Editing with Cross Attention Control

https://github.com/chenwuperth/ClaRAN

Mask R-CNN

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