https://github.com/Shilin-LU/TF-ICON
공식 코드TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition
Papers with Code 아카이브
1 Image, 2*2 Stitchi
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ShirleyMaxx/VirtualMarker
공식 코드https://github.com/ShuhongChen/bizarre-pose-estimator
공식 코드Transfer Learning for Pose Estimation of Illustrated Characters
https://github.com/SimingYan/Hybrid_Relative_Pose
공식 코드https://github.com/Singularity42/cap2vid
공식 코드https://github.com/Sirui-Xu/InterDiff
공식 코드InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion
https://github.com/Snapchat/MeshPose
공식 코드MeshPose: Unifying DensePose and 3D Body Mesh reconstruction
https://github.com/SobeyMIL/MVOC
공식 코드MVOC: a training-free multiple video object composition method with diffusion models
https://github.com/SonyCSLParis/vqcpc-bach
공식 코드Vector Quantized Contrastive Predictive Coding for Template-based Music Generation
https://github.com/SonyResearch/diffvox
공식 코드Improving Inference-Time Optimisation for Vocal Effects Style Transfer with a Gaussian Prior
https://github.com/Sophie-Xu/Pose_DomainAdaption
공식 코드Alleviating Human-level Shift : A Robust Domain Adaptation Method for Multi-person Pose Estimation
https://github.com/Spenhouet/automated-deep-photo-style-transfer
공식 코드https://github.com/StanfordMSL/Splat-MOVER
공식 코드Splat-MOVER: Multi-Stage, Open-Vocabulary Robotic Manipulation via Editable Gaussian Splatting
https://github.com/StructuresComp/measure-anything
공식 코드Measure Anything: Real-time, Multi-stage Vision-based Dimensional Measurement using Segment Anything
https://github.com/SuhoRyu/HATIE
공식 코드Towards Scalable Human-aligned Benchmark for Text-guided Image Editing
https://github.com/SwinTransformer/MIM-Depth-Estimation
공식 코드https://github.com/T1sweet/HEViTPose
공식 코드HEViTPose: High-Efficiency Vision Transformer for Human Pose Estimation
https://github.com/TAMU-VITA/GAN-Slimming
공식 코드GAN Slimming: All-in-One GAN Compression by A Unified Optimization Framework
https://github.com/TAMU-VITA/ShapeMatchingGAN
공식 코드Controllable Artistic Text Style Transfer via Shape-Matching GAN
https://github.com/TCXX/ObjaversePlusPlus
공식 코드Objaverse++: Curated 3D Object Dataset with Quality Annotations
https://github.com/THU-DA-6D-Pose-Group/GDR-Net
공식 코드GDRNPP: A Geometry-guided and Fully Learning-based Object Pose Estimator
https://github.com/THU-DA-6D-Pose-Group/Self6D-Diff-Renderer
공식 코드https://github.com/THU-VCLab/HGGD
공식 코드Efficient Heatmap-Guided 6-Dof Grasp Detection in Cluttered Scenes
https://github.com/THUDM/CogView
공식 코드CogView: Mastering Text-to-Image Generation via Transformers
https://github.com/THUYimingLi/MOVE
공식 코드MOVE: Effective and Harmless Ownership Verification via Embedded External Features
https://github.com/TIGER-AI-Lab/ConsistI2V
공식 코드ConsistI2V: Enhancing Visual Consistency for Image-to-Video Generation
https://github.com/TIGER-AI-Lab/ImagenHub
공식 코드ImagenHub: Standardizing the evaluation of conditional image generation models
https://github.com/TOPO-EPFL/TOPO-DataGen
공식 코드CrossLoc: Scalable Aerial Localization Assisted by Multimodal Synthetic Data
https://github.com/TRI-ML/KP2D
공식 코드Neural Outlier Rejection for Self-Supervised Keypoint Learning
https://github.com/TRI-ML/KP3D
공식 코드Self-Supervised 3D Keypoint Learning for Ego-motion Estimation
https://github.com/TaatiTeam/stgcn_parkinsonism_prediction
공식 코드Estimating Parkinsonism Severity in Natural Gait Videos of Older Adults with Dementia
https://github.com/TalnUPF/ConceptExtraction
공식 코드https://github.com/Tan-H-C/DR-GAN-Distribution-Regularization-for-Text-to-Image-Generation
공식 코드DR-GAN: Distribution Regularization for Text-to-Image Generation
https://github.com/Tang1705/Semantic-Lens-AAAI24
공식 코드Semantic Lens: Instance-Centric Semantic Alignment for Video Super-Resolution
https://github.com/TechnicolorGUO/InteractiveSurvey
공식 코드InteractiveSurvey: An LLM-based Personalized and Interactive Survey Paper Generation System
https://github.com/TencentARC/GFPGAN
공식 코드Towards Real-World Blind Face Restoration with Generative Facial Prior
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.