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

https://github.com/njuhuojing/mast

공식 코드

Manifold Alignment for Semantically Aligned Style Transfer

https://github.com/nkolkin13/STROTSS

공식 코드

Style Transfer by Relaxed Optimal Transport and Self-Similarity

https://github.com/nkolkin13/neuralneighborstyletransfer

공식 코드

Neural Neighbor Style Transfer

https://github.com/nkolot/ProHMR

공식 코드

Probabilistic Modeling for Human Mesh Recovery

https://github.com/nktoan/causal-inference-via-style-transfer-for-ood-generalisation

공식 코드

Causal Inference via Style Transfer for Out-of-distribution Generalisation

https://github.com/nms05/improving-concept-alignment-in-vision-language-concept-bottleneck-models

공식 코드

Improving Concept Alignment in Vision-Language Concept Bottleneck Models

https://github.com/noabrazilay/missgan

공식 코드

MISS GAN: A Multi-IlluStrator Style Generative Adversarial Network for image to illustration translation

https://github.com/noagarcia/phase

공식 코드

Uncurated Image-Text Datasets: Shedding Light on Demographic Bias

https://github.com/noamelata/nesteddiffusion

공식 코드

Nested Diffusion Processes for Anytime Image Generation

https://github.com/noboevbo/pedrec

공식 코드

PedRecNet: Multi-task deep neural network for full 3D human pose and orientation estimation

https://github.com/nonmy/fdct

공식 코드

FDCT: Fast Depth Completion for Transparent Objects

https://github.com/norlab-ulaval/tfr24_borealhdr

공식 코드

Reproducible Evaluation of Camera Auto-Exposure Methods in the Field: Platform, Benchmark and Lessons Learned

https://github.com/npupilab/curriculumloc

공식 코드

CurriculumLoc: Enhancing Cross-Domain Geolocalization through Multi-Stage Refinement

https://github.com/nqian1/survey-on-odisr-and-odvsr

공식 코드

A Systematic Investigation on Deep Learning-Based Omnidirectional Image and Video Super-Resolution

https://github.com/nsantavas/Attention-A-Lightweight-2D-Hand-Pose-Estimation-Approach

공식 코드

Attention! A Lightweight 2D Hand Pose Estimation Approach

https://github.com/nubot-nudt/td-nerf

공식 코드

TD-NeRF: Novel Truncated Depth Prior for Joint Camera Pose and Neural Radiance Field Optimization

https://github.com/nudlesoup/first2third-pose

공식 코드

Enhancing Egocentric 3D Pose Estimation with Third Person Views

https://github.com/nv-nguyen/gigapose

공식 코드

GigaPose: Fast and Robust Novel Object Pose Estimation via One Correspondence

https://github.com/nv-nguyen/nope

공식 코드

NOPE: Novel Object Pose Estimation from a Single Image

https://github.com/nv-nguyen/template-pose

공식 코드

Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions

https://github.com/nvasilik/d-pose

공식 코드

D-PoSE: Depth as an Intermediate Representation for 3D Human Pose and Shape Estimation

https://github.com/nvidia-cosmos/cosmos-reason1

공식 코드

Cosmos-Reason1: From Physical Common Sense To Embodied Reasoning

https://github.com/nvidia/bigvgan

공식 코드

BigVGAN: A Universal Neural Vocoder with Large-Scale Training

https://github.com/nvlabs/conformalkeypoint

공식 코드

Object Pose Estimation with Statistical Guarantees: Conformal Keypoint Detection and Geometric Uncertainty Propagation

https://github.com/nvlabs/glamr

공식 코드

GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Cameras

https://github.com/nvsclub/shotspeedestimation

공식 코드

A Survey of Advanced Computer Vision Techniques for Sports

https://github.com/nyquixt/kinematicnet

공식 코드

Deep learning-based estimation of whole-body kinematics from multi-view images

https://github.com/nyu-ce-projects/depth-estimation

공식 코드

Self-Supervised Learning based Depth Estimation from Monocular Images

https://github.com/nzilberstein/Repulsive-score-distillation-RSD-

공식 코드

Repulsive Latent Score Distillation for Solving Inverse Problems

https://github.com/oanaignat/mosaig

공식 코드

Multi-Agent Multimodal Models for Multicultural Text to Image Generation

https://github.com/oarriaga/bayesian-inverse-graphics

공식 코드

Bayesian Inverse Graphics for Few-Shot Concept Learning

https://github.com/odegeasslbc/Self-Supervised-Sketch-to-Image-Synthesis-PyTorch

공식 코드

Self-Supervised Sketch-to-Image Synthesis

https://github.com/ofa-sys/ofa

공식 코드

OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework

https://github.com/ofsoundof/grl-image-restoration

공식 코드

Efficient and Explicit Modelling of Image Hierarchies for Image Restoration

https://github.com/olawod/freevc

공식 코드

FreeVC: Towards High-Quality Text-Free One-Shot Voice Conversion

https://github.com/oldbirdaz/mssrnet_style_transfer

공식 코드

MSSRNet: Manipulating Sequential Style Representation for Unsupervised Text Style Transfer

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