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코드

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

https://github.com/vcg-uvic/acne

공식 코드

ACNe: Attentive Context Normalization for Robust Permutation-Equivariant Learning

https://github.com/vchitect/vbench

공식 코드

VBench++: Comprehensive and Versatile Benchmark Suite for Video Generative Models

https://github.com/vchoutas/expose

공식 코드

Monocular Expressive Body Regression through Body-Driven Attention

https://github.com/vchoutas/smplify-x

공식 코드

Expressive Body Capture: 3D Hands, Face, and Body from a Single Image

https://github.com/vectorspacelab/omnigen

공식 코드

OmniGen: Unified Image Generation

https://github.com/vefalun/HTNet

공식 코드

HTNet: Human Topology Aware Network for 3D Human Pose Estimation

https://github.com/vegesm/depthpose

공식 코드

Absolute Human Pose Estimation with Depth Prediction Network

https://github.com/vegesm/pose_refinement

공식 코드

Temporal Smoothing for 3D Human Pose Estimation and Localization for Occluded People

https://github.com/vegesm/siamese-pose-estimation

공식 코드

3D Human Pose Estimation with Siamese Equivariant Embedding

https://github.com/vegesm/wdspose

공식 코드

Multi-Person Absolute 3D Human Pose Estimation with Weak Depth Supervision

https://github.com/vegetebird/graphmlp

공식 코드

GraphMLP: A Graph MLP-Like Architecture for 3D Human Pose Estimation

https://github.com/verazuo/prompt-stealing-attack

공식 코드

Prompt Stealing Attacks Against Text-to-Image Generation Models

https://github.com/verlab/learningtodetect_prl_2023

공식 코드

Improving the matching of deformable objects by learning to detect keypoints

https://github.com/verlab/learningtodetect_sibgrapi_2022

공식 코드

Learning to Detect Good Keypoints to Match Non-Rigid Objects in RGB Images

https://github.com/vfcosta/clip-gan-es

공식 코드

Exploring Generative Adversarial Networks for Text-to-Image Generation with Evolution Strategies

https://github.com/vibot-lab/pola4all_jei_2023

공식 코드

Pola4All: survey of polarimetric applications and an open-source toolkit to analyze polarization

https://github.com/vicgalle/stable-diffusion-aesthetic-gradients

공식 코드

Personalizing Text-to-Image Generation via Aesthetic Gradients

https://github.com/vicoslab/cedirnet-3dof

공식 코드

Center Direction Network for Grasping Point Localization on Cloths

https://github.com/videocrafter/talecrafter

공식 코드

TaleCrafter: Interactive Story Visualization with Multiple Characters

https://github.com/videosyncai/videosync

공식 코드

Beyond Audio and Pose: A General-Purpose Framework for Video Synchronization

https://github.com/vijay4313/proxemo

공식 코드

ProxEmo: Gait-based Emotion Learning and Multi-view Proxemic Fusion for Socially-Aware Robot Navigation

https://github.com/vimar-gu/colorpromptreid

공식 코드

Color Prompting for Data-Free Continual Unsupervised Domain Adaptive Person Re-Identification

https://github.com/vineet2104/hifics

공식 코드

HiFi-CS: Towards Open Vocabulary Visual Grounding For Robotic Grasping Using Vision-Language Models

https://github.com/vineetjohn/linguistic-style-transfer

공식 코드

Disentangled Representation Learning for Non-Parallel Text Style Transfer

https://github.com/vinid/text-to-image-bias

공식 코드

Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale

https://github.com/vinits5/learning3d

공식 코드

PCRNet: Point Cloud Registration Network using PointNet Encoding

https://github.com/vinits5/pcrnet

공식 코드

PCRNet: Point Cloud Registration Network using PointNet Encoding

https://github.com/vinits5/pcrnet_pytorch

공식 코드

PCRNet: Point Cloud Registration Network using PointNet Encoding

https://github.com/vinits5/pointnet-registration-framework

공식 코드

One Framework to Register Them All: PointNet Encoding for Point Cloud Alignment

https://github.com/vipulraheja/iterater

공식 코드

Improving Iterative Text Revision by Learning Where to Edit from Other Revision Tasks

https://github.com/virajprabhu/lance

공식 코드

LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images

https://github.com/virobo-15/mgcc

공식 코드

Multi-modal Generation via Cross-Modal In-Context Learning

https://github.com/visionlearninggroup/uda_poseestimation

공식 코드

A Unified Framework for Domain Adaptive Pose Estimation

https://github.com/visresearch/mgc

공식 코드

Multi-Grained Contrast for Data-Efficient Unsupervised Representation Learning

https://github.com/visual-words/visual-words

공식 코드

Understanding Visual Concepts Across Models

https://github.com/vita-epfl/MotionMap

공식 코드

MotionMap: Representing Multimodality in Human Pose Forecasting

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