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

https://github.com/ailab-cvc/seed

공식 코드

Planting a SEED of Vision in Large Language Model

https://github.com/ailab-cvc/vl-gpt

공식 코드

VL-GPT: A Generative Pre-trained Transformer for Vision and Language Understanding and Generation

https://github.com/ailingzengzzz/Split-and-Recombine-Net

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SRNet: Improving Generalization in 3D Human Pose Estimation with a Split-and-Recombine Approach

https://github.com/aim-uofa/genpercept

공식 코드

What Matters When Repurposing Diffusion Models for General Dense Perception Tasks?

https://github.com/aim-uofa/poseur

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Poseur: Direct Human Pose Regression with Transformers

https://github.com/aimagelab/dress-code

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Dress Code: High-Resolution Multi-Category Virtual Try-On

https://github.com/aimagelab/mad

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Merging and Splitting Diffusion Paths for Semantically Coherent Panoramas

https://github.com/aimagelab/safe-clip

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Safe-CLIP: Removing NSFW Concepts from Vision-and-Language Models

https://github.com/aimagelab/ti-mgd

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Multimodal-Conditioned Latent Diffusion Models for Fashion Image Editing

https://github.com/aimi-lab/robust-pose-estimator

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Learning How To Robustly Estimate Camera Pose in Endoscopic Videos

https://github.com/aiotgroup/xrfv2

공식 코드

XRF V2: A Dataset for Action Summarization with Wi-Fi Signals, and IMUs in Phones, Watches, Earbuds, and Glasses

https://github.com/aioz-ai/audiodrivenstyletransfer

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Style Transfer for 2D Talking Head Animation

https://github.com/aipixel/pl-vtonv2

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Limb-Aware Virtual Try-On Network with Progressive Clothing Warping

https://github.com/air-discover/lasst

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Language-guided Semantic Style Transfer of 3D Indoor Scenes

https://github.com/airl-iisc/MRFP

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MRFP: Learning Generalizable Semantic Segmentation from Sim-2-Real with Multi-Resolution Feature Perturbation

https://github.com/ais-bonn/jetsontrtperception

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3D Semantic Scene Perception using Distributed Smart Edge Sensors

https://github.com/ais-bonn/smartedgesensor3dsceneperception

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3D Semantic Scene Perception using Distributed Smart Edge Sensors

https://github.com/ajwad-abrar/religious-bias

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Religious Bias Landscape in Language and Text-to-Image Models: Analysis, Detection, and Debiasing Strategies

https://github.com/akanazawa/human_dynamics

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Learning 3D Human Dynamics from Video

https://github.com/akashpalrecha/hyperspectral-reconstruction

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MXR-U-Nets for Real Time Hyperspectral Reconstruction

https://github.com/akashsengupta1997/STRAPS-3DHumanShapePose

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Synthetic Training for Accurate 3D Human Pose and Shape Estimation in the Wild

https://github.com/akashsengupta1997/hierarchicalprobabilistic3dhuman

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Hierarchical Kinematic Probability Distributions for 3D Human Shape and Pose Estimation from Images in the Wild

https://github.com/akashsengupta1997/humaniflow

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HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds for Human Pose and Shape Distribution Estimation

https://github.com/akschion/PoseGravity

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PoseGravity: Pose Estimation from Points and Lines with Axis Prior

https://github.com/akshaymehra24/riskaversedg

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On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization

https://github.com/alanlusun/few-shot-keypoint-detection

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Few-shot Keypoint Detection with Uncertainty Learning for Unseen Species

https://github.com/alanlusun/openkd

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OpenKD: Opening Prompt Diversity for Zero- and Few-shot Keypoint Detection

https://github.com/aleflabo/MoCoDAD

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Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection

https://github.com/aleksispi/pose-drl

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Deep Reinforcement Learning for Active Human Pose Estimation

https://github.com/alessiosam/chico-poseforecasting

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Pose Forecasting in Industrial Human-Robot Collaboration

https://github.com/alexa/amazon-voice-conversion-voicy

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Voicy: Zero-Shot Non-Parallel Voice Conversion in Noisy Reverberant Environments

https://github.com/alexandrebanks6/dv-stear_public

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Setup-Invariant Augmented Reality for Teaching by Demonstration with Surgical Robots

https://github.com/alexandrosstergiou/adaPool

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AdaPool: Exponential Adaptive Pooling for Information-Retaining Downsampling

https://github.com/alexhang212/3d-muppet

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3D-MuPPET: 3D Multi-Pigeon Pose Estimation and Tracking

https://github.com/alexhang212/dataset-3dpop

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3D-POP - An automated annotation approach to facilitate markerless 2D-3D tracking of freely moving birds with marker-based motion capture

https://github.com/alexmaols/elucd

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Elucidating The Design Space of Classifier-Guided Diffusion Generation

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