Karl Hexo https://blog.karltan.com/ All rights reserved 2026, Karl 不积跬步无以至千里 Karl的博客 2026-07-02T14:29:51.000Z Karl CVPR
  1. Any6D: Model-free 6D Pose Estimation of Novel Object
    • 分类：任意物体方法
    • 论文：https://openaccess.thecvf.com/content/CVPR2025/html/Lee_Any6D_Model-free_6D_Pose_Estimation_of_Novel_Objects_CVPR_2025_paper.html
    • 代码：https://github.com/taeyeopl/Any6D
  2. CAP-Net: A Unified Network for 6D Pose and Size Estimation ofCategorical Articulated Parts from a Single RGB-D Image
    • 分类：类别级铰接物体方法
    • 论文：https://openaccess.thecvf.com/content/CVPR2025/html/Huang_CAP-Net_A_Unified_Network_for_6D_Pose_and_Size_Estimation_CVPR_2025_paper.html
    • 代码：https://github.com/ShaneHuangHZ/CAPNet
  3. Co-op: Correspondence-based Novel Object Pose Estimation
    • 分类：任意物体方法
    • 论文：https://openaccess.thecvf.com/content/CVPR2025/html/Moon_Co-op_Correspondence-based_Novel_Object_Pose_Estimation_CVPR_2025_paper.html
    • 代码：代码未开源
  4. CRISP: Object Pose and Shape Estimation with Test-Time Adaptation
    • 分类：任意物体方法
    • 论文：https://openaccess.thecvf.com/content/CVPR2025/html/Shi_CRISP_Object_Pose_and_Shape_Estimation_with_Test-Time_Adaptation_CVPR_2025_paper.html
    • 代码：https://github.com/MIT-SPARK/CRISP
  5. GCE-Pose: Global Context Enhancement for Category-level Object PoseEstimation
    • 分类：类别级方法
    • 论文：https://openaccess.thecvf.com/content/CVPR2025/html/Li_GCE-Pose_Global_Context_Enhancement_for_Category-level_Object_Pose_Estimation_CVPR_2025_paper.html
    • 代码：代码未开源
  6. GIVEPose: Gradual Intra-class Variation Elimination for RGB-basedCategory-Level Object Pose Estimation
    • 分类：类别级方法
    • 论文：https://openaccess.thecvf.com/content/CVPR2025/html/Huang_GIVEPose_Gradual_Intra-class_Variation_Elimination_for_RGB-based_Category-Level_Object_Pose_CVPR_2025_paper.html
    • 代码：https://github.com/ziqin-h/GIVEPose
  7. iG-6DoF: Model-free 6DoF Pose Estimation for Unseen Object viaIterative 3D Gaussian Splatting
    • 分类：任意物体方法
    • 论文：https://openaccess.thecvf.com/content/CVPR2025/html/Cao_iG-6DoF_Model-free_6DoF_Pose_Estimation_for_Unseen_Object_via_Iterative_CVPR_2025_paper.html
    • 代码：代码未开源
  8. Leveraging Global Stereo Consistency for Category-Level Shape and 6DPose Estimation from Stereo Images
    • 分类：类别级方法
    • 论文：https://openaccess.thecvf.com/content/CVPR2025/html/Qiu_Leveraging_Global_Stereo_Consistency_for_Category-Level_Shape_and_6D_Pose_CVPR_2025_paper.html
    • 代码：代码未开源
  9. ONDA-Pose: Occlusion-Aware Neural Domain Adaptation forSelf-Supervised 6D Object Pose Estimation
    • 分类：实例级方法
    • 论文：https://openaccess.thecvf.com/content/CVPR2025/html/Tan_ONDA-Pose_Occlusion-Aware_Neural_Domain_Adaptation_for_Self-Supervised_6D_Object_Pose_CVPR_2025_paper.html
    • 代码：https://github.com/tan-tao11/ONDA-Pose
  10. One2Any: One-Reference 6D Pose Estimation for Any Object
    • 分类：任意物体方法
    • 论文：https://openaccess.thecvf.com/content/CVPR2025/html/Liu_One2Any_One-Reference_6D_Pose_Estimation_for_Any_Object_CVPR_2025_paper.html
    • 代码：https://github.com/lmy1001/One2Any
  11. Pos3R: 6D Pose Estimation for Unseen Objects Made Easy
    • 分类：任意物体方法
    • 论文：https://openaccess.thecvf.com/content/CVPR2025/html/Deng_Pos3R_6D_Pose_Estimation_for_Unseen_Objects_Made_Easy_CVPR_2025_paper.html
    • 代码：代码未开源
  12. RefPose: Leveraging Reference Geometric Correspondences for Accurate6D Pose Estimation of Unseen Objects
    • 分类：任意物体方法
    • 论文：https://openaccess.thecvf.com/content/CVPR2025/html/Kim_RefPose_Leveraging_Reference_Geometric_Correspondences_for_Accurate_6D_Pose_Estimation_CVPR_2025_paper.html
    • 代码：代码未开源
  13. Rethinking Correspondence-based Category-Level Object PoseEstimation
    • 分类：类别级方法
    • 论文：https://openaccess.thecvf.com/content/CVPR2025/html/Ren_Rethinking_Correspondence-based_Category-Level_Object_Pose_Estimation_CVPR_2025_paper.html
    • 代码：代码未开源
  14. SCFlow2: Plug-and-Play Object Pose Refiner with Shape-ConstraintScene Flow
    • 分类：实例级优化方法
    • 论文：https://openaccess.thecvf.com/content/CVPR2025/html/Wang_SCFlow2_Plug-and-Play_Object_Pose_Refiner_with_Shape-Constraint_Scene_Flow_CVPR_2025_paper.html
    • 代码：https://github.com/W-QY/SCFlow2
  15. Structure-Aware Correspondence Learning for Relative Pose Estimation
    • 分类：任意物体方法
    • 论文：https://openaccess.thecvf.com/content/CVPR2025/html/Chen_Structure-Aware_Correspondence_Learning_for_Relative_Pose_Estimation_CVPR_2025_paper.html
    • 代码：https://github.com/Cyhhzo02/SAC-Pose-code
  16. UA-Pose: Uncertainty-Aware 6D Object Pose Estimation and OnlineObject Completion with Partial References
    • 分类：任意物体方法
    • 论文：https://openaccess.thecvf.com/content/CVPR2025/html/Li_UA-Pose_Uncertainty-Aware_6D_Object_Pose_Estimation_and_Online_Object_Completion_CVPR_2025_paper.html
    • 代码：代码未开源
  17. UNOPose: Unseen Object Pose Estimation with an Unposed RGB-DReference Image
    • 分类：任意物体方法
    • 论文：https://openaccess.thecvf.com/content/CVPR2025/html/Liu_UNOPose_Unseen_Object_Pose_Estimation_with_an_Unposed_RGB-D_Reference_CVPR_2025_paper.html
    • 代码：https://github.com/shanice-l/UNOPose

NeurIPS

  1. RFMPose: Generative Category-level Object Pose Estimation viaRiemannian Flow Matching
    • 分类：类别级方法
    • 论文：https://neurips.cc/virtual/2025/poster/119779
    • 代码：https://github.com/shabiouyang/RMFPose
  2. SingRef6D: Monocular Novel Object Pose Estimation with a Single RGBReference
    • 分类：任意物体方法
    • 论文：https://neurips.cc/virtual/2025/poster/115633
    • 代码：代码未开源

ICLR

  1. 6D Object Pose Tracking in Internet Videos for Robotic Manipulation
    • 分类：任意物体跟踪方法
    • 论文：https://openreview.net/pdf?id=1CIUkpoata
    • 代码：https://github.com/ponimatkin/freepose
  2. Learning Shape-Independent Transformation via SphericalRepresentations for Category-Level Object Pose Estimation
    • 分类：类别级方法
    • 论文：https://openreview.net/pdf?id=D4xztKoz0Y
    • 代码：代码未开源

ICML

ECCV

ICCV

  1. 6DOPE-GS: Online 6D Object Pose Estimation using Gaussian Splatting
    • 分类：任意物体方法
    • 论文：https://openaccess.thecvf.com/content/ICCV2025/papers/Jin_6DOPE-GS_Online_6D_Object_Pose_Estimation_using_Gaussian_Splatting_ICCV_2025_paper.pdf
    • 代码：代码未开源
  2. BoxDreamer: Dreaming Box Corners for GeneralizableObject Pose Estimation
    • 分类：任意物体方法
    • 论文：https://openaccess.thecvf.com/content/ICCV2025/papers/Yu_BoxDreamer_Dreaming_Box_Corners_for_Generalizable_Object_Pose_Estimation_ICCV_2025_paper.pdf
    • 代码：https://github.com/zju3dv/BoxDreamer
  3. CleanPose: Category-Level Object Pose Estimation via Causal Learningand Knowledge Distillation
    • 分类：类别级方法
    • 论文：https://openaccess.thecvf.com/content/ICCV2025/papers/Lin_CleanPose_Category-Level_Object_Pose_Estimation_via_Causal_Learning_and_Knowledge_ICCV_2025_paper.pdf
    • 代码：https://github.com/chrislin0621/CleanPose
  4. Deterministic Object Pose Confidence Region Estimation
    • 分类：实例级方法
    • 论文：https://arxiv.org/pdf/2506.22720
    • 代码：代码未开源
  5. Environment-Agnostic Pose: Generating Environment-independent ObjectRepresentations for 6D Pose Estimation
    • 分类：实例级方法
    • 论文：https://openaccess.thecvf.com/content/ICCV2025/papers/Zhang_Environment-Agnostic_Pose_Generating_Environment-independent_Object_Representations_for_6D_Pose_Estimation_ICCV_2025_paper.pdf
    • 代码：代码未开源
  6. HccePose(BF): Predicting Front & Back Surfaces to ConstructUltra-Dense 2D-3D Correspondences for Pose Estimation
    • 分类：实例级方法
    • 论文：https://openaccess.thecvf.com/content/ICCV2025/papers/Wang_HccePoseBF_Predicting_Front__Back_Surfaces_to_Construct_Ultra-Dense_2D-3D_ICCV_2025_paper.pdf
    • 代码：https://github.com/WangYuLin-SEU/HCCEPose
  7. Joint Learning of Pose Regression and Denoising Diffusion with ScoreScaling Sampling for Category-level 6D Pose Estimation
    • 分类：类别级方法
    • 论文：https://openaccess.thecvf.com/content/ICCV2025/papers/Lee_Joint_Learning_of_Pose_Regression_and_Denoising_Diffusion_with_Score_ICCV_2025_paper.pdf
    • 代码：代码未开源
  8. MixRI: Mixing Features of Reference Images for NovelObject Pose Estimation
    • 分类：任意物体方法
    • 论文：https://openaccess.thecvf.com/content/ICCV2025/papers/Liu_MixRI_Mixing_Features_of_Reference_Images_for_Novel_Object_Pose_ICCV_2025_paper.pdf
    • 代码：代码未开源
  9. RayPose: Ray Bundling Diffusion for Template Views in Unseen 6DObject Pose Estimation
    • 分类：任意物体方法
    • 论文：https://openaccess.thecvf.com/content/ICCV2025/papers/Huang_RayPose_Ray_Bundling_Diffusion_for_Template_Views_in_Unseen_6D_ICCV_2025_paper.pdf
    • 代码：代码未开源
  10. Unified Category-Level Object Detection and Pose Estimation from RGBImages using 3D Prototypes
    • 分类：类别级方法
    • 论文：https://openaccess.thecvf.com/content/ICCV2025/papers/Fischer_Unified_Category-Level_Object_Detection_and_Pose_Estimation_from_RGB_Images_ICCV_2025_paper.pdf
    • 代码：https://github.com/Fischer-Tom/unified-detection-and-pose-estimation

AAAI

  1. KeyPose: Category-Level 6D Object Pose Estimation with Self-AdaptiveKeypoints
    • 分类：类别级方法
    • 论文：https://ojs.aaai.org/index.php/AAAI/article/view/33046
    • 代码：代码未开源
  2. Universal Features Guided Zero-Shot Category-Level Object PoseEstimation
    • 分类：类别级方法
    • 论文：https://ojs.aaai.org/index.php/AAAI/article/view/32713
    • 代码：代码未开源

IJCAI

  1. Pre-defined Keypoints Promote Category-level Articulation PoseEstimation via Multi-Modal Alignment
    • 分类：类别级铰接物体方法
    • 论文：https://www.ijcai.org/proceedings/2025/0237.pdf
    • 代码：代码未开源
  2. SeqPose: An End-to-End Framework to Unify Single-frame andVideo-based RGB Category-Level Pose Estimation
    • 分类：类别级方法
    • 论文：https://www.ijcai.org/proceedings/2025/0137.pdf
    • 代码：代码未开源

WACV

  1. Generalizable Single-View Object Pose Estimation by Two-SideGenerating and Matching
    • 分类：任意物体方法
    • 论文：https://openaccess.thecvf.com/content/WACV2025/html/Sun_Generalizable_Single-View_Object_Pose_Estimation_by_Two-Side_Generating_and_Matching_WACV_2025_paper.html
    • 代码：https://github.com/scy639/Gen2SM
  2. Shape-Biased Texture Agnostic Representations for ImprovedTextureless and Metallic Object Detection and 6D Pose Estimation
    • 分类：实例级方法
    • 论文：https://openaccess.thecvf.com/content/WACV2025/html/Honig_Shape-Biased_Texture_Agnostic_Representations_for_Improved_Textureless_and_Metallic_Object_WACV_2025_paper.html
    • 代码：https://github.com/hoenigpeter/randomized_texturing

ICRA

  1. A Unified End-to-End Network for Category-Level and Instance-LevelObject Pose Estimation from RGB Images
    • 分类：实例级&类别级方法
    • 论文：https://ieeexplore.ieee.org/document/11128247
    • 代码：代码未开源
  2. MonoDiff9D: Monocular Category-Level 9D Object Pose Estimation viaDiffusion Model
    • 分类：类别级方法
    • 论文：https://ieeexplore.ieee.org/document/11127837
    • 代码：https://github.com/CNJianLiu/MonoDiff9D
  3. Occlusion-Aware 6D Pose Estimation with Depth-Guided Graph Encodingand Cross-Semantic Fusion for Robotic Grasping
    • 分类：实例级方法
    • 论文：https://ieeexplore.ieee.org/document/11128248
    • 代码：代码未开源
  4. You Only Estimate Once: Unified, One-stage, Real-Time Category-LevelArticulated Object 6D Pose Estimation for Robotic Grasping
    • 分类：类别级铰接物体方法
    • 论文：https://ieeexplore.ieee.org/document/11128513
    • 代码：代码未开源

SIGGRAPH

ACM MM

  1. CLIP-6D: Empowering CLIP as a Zero-Shot 6D Pose Estimator ThroughGeneralizable Object-Specific Representations
    • 分类：任意物体方法
    • 论文：https://dl.acm.org/doi/10.1145/3746027.3754497
    • 代码：代码未开源

AISTATS

CoRL

  1. One View, Many Worlds: Single-Image to 3D object Meets GenerativeDomain Randomization for One-Shot 6D Pose Estimation
    • 分类：任意物体方法
    • 论文：https://openreview.net/pdf?id=kto4zVmo4w
    • 代码：https://github.com/gzwsama/OnePoseviaGen
  2. PicoPose: Progressive Pixel-to-Pixel Correspondence Learning forNovel Object Pose Estimation
    • 分类：任意物体方法
    • 论文：https://openreview.net/pdf?id=EXgckdYESp
    • 代码：https://github.com/foollh/PicoPose
  3. UnPose: Uncertainty-Guided Diffusion Priors for Zero-Shot PoseEstimation
    • 分类：任意物体方法
    • 论文：https://openreview.net/pdf?id=L5PJBd8ahD
    • 代码：代码未开源

IROS

  1. 6-DoF Object Tracking with Event-based Optical Flow and Frames
    • 分类：实例级跟踪方法
    • 论文：https://ieeexplore.ieee.org/document/11245865
    • 代码：代码未开源
  2. Distilling 3D distinctive local descriptors for 6D pose estimation
    • 分类：任意物体方法
    • 论文：https://ieeexplore.ieee.org/document/11247352
    • 代码：https://github.com/tev-fbk/dGeDi/
  3. DynamicPose: Real-time and Robust 6D Object Pose Tracking forFast-Moving Cameras and Objects
    • 分类：实例级跟踪方法
    • 论文：https://ieeexplore.ieee.org/document/11247403
    • 代码：https://github.com/Robotics-STAR-Lab/DynamicPose
  4. Generalizable and Actionable Part Detection and Manipulation withSAM-rectified Segmentation and Iterative Pose Refinement
    • 分类：类别级可操作物体方法
    • 论文：https://ieeexplore.ieee.org/document/11246094
    • 代码：代码未开源
  5. Improving 6D Object Pose Estimation of Metallic Household andIndustry Objects
    • 分类：类别级方法
    • 论文：https://ieeexplore.ieee.org/document/11247314
    • 代码：代码未开源
  6. MK-Pose: Category-Level Object Pose Estimation via Multimodal-BasedKeypoint Learning
    • 分类：类别级方法
    • 论文：https://ieeexplore.ieee.org/document/11247325
    • 代码：https://github.com/yangyifanYYF/MK-Pose
  7. Occlusion-Aware 6D Pose Estimation with Visual Observation GuidedDiffusion Model
    • 分类：类别级方法
    • 论文：https://ieeexplore.ieee.org/document/11247112
    • 代码：代码未开源
  8. OmniPose6D: Towards Short-Term Object Pose Tracking in DynamicScenes from Monocular RGB
    • 分类：任意物体跟踪方法
    • 论文：https://ieeexplore.ieee.org/document/11246949
    • 代码：代码未开源
  9. RAG-6DPose: Retrieval-Augmented 6D Pose Estimation via LeveragingCAD as Knowledge Base
    • 分类：实例级方法
    • 论文：https://ieeexplore.ieee.org/document/11246449
    • 代码：https://github.com/SresserS/RAG-6DPose-code
  10. RCGNet: RGB-based Category-Level 6D Object Pose Estimation withGeometric Guidance
    • 分类：类别级方法
    • 论文：https://ieeexplore.ieee.org/document/11247442
    • 代码：代码未开源
  11. RGBTrack: Fast, Robust Depth-Free 6D Pose Estimation and Tracking
    • 分类：实例级跟踪方法
    • 论文：https://ieeexplore.ieee.org/document/11247381
    • 代码：https://github.com/GreatenAnoymous/RGBTrack
  12. Uncertainty-Aware Knowledge Distillation for Compact and Efficient6DoF Pose Estimation
    • 分类：实例级方法
    • 论文：https://ieeexplore.ieee.org/document/11245982
    • 代码：代码未开源
  13. VAPO: Visibility-Aware Keypoint Localization for Efficient 6DoFObject Pose Estimation
    • 分类：实例级方法
    • 论文：https://ieeexplore.ieee.org/document/11247012
    • 代码：https://github.com/RuyiLian/VAPO

ICPR

RSS

  1. V-HOP: Visuo-Haptic 6D Object Pose Tracking
    • 分类：实例级跟踪方法
    • 论文：https://roboticsconference.org/2025/program/papers/37/
    • 代码：https://github.com/brown-ivl/v-hop

IJCNN

BMVC

3DV

  1. GS-Pose: Generalizable Segmentation-Based 6D Object Pose EstimationWith 3D Gaussian Splatting
    • 分类：任意物体方法
    • 论文：https://openreview.net/pdf?id=8xHWWXZ9pq
    • 代码：https://github.com/dingdingcai/GSPose

ICIP

  1. Adapting Foundation Features via Cross-View Contrastive Learning forUnseen Object Pose Estimation
    • 分类：任意物体方法
    • 论文：https://ieeexplore.ieee.org/document/11084358
    • 代码：代码未开源

ACCV

ICME

  1. Diff-Art: Category-level Articulation Pose Estimation viaConditional Diffusion
    • 分类：类别级铰接物体方法
    • 论文：https://ieeexplore.ieee.org/document/11209596
    • 代码：代码未开源
  2. GASEM: Boosting Generalized and Actionable Parts Segmentation andPose Estimation via Object Motion Perception
    • 分类：类别级铰接物体方法
    • 论文：https://ieeexplore.ieee.org/document/11208907
    • 代码：https://github.com/Zirconium233/GASEM
  3. Multi-mode Bidirectional Feature Fusion and Domain-consistencyRefinement for Real-time Monocular 6D Object Pose Estimation
    • 分类：实例级方法
    • 论文：https://ieeexplore.ieee.org/document/11208924
    • 代码：代码未开源

ECAI

ISMAR

SIGGRAPH Asia

ICANN

  1. RDGE-6D: Reverse Direction Geometry Injection for 6D Pose Estimation
    • 分类：实例级方法
    • 论文：https://link.springer.com/chapter/10.1007/978-3-032-04546-1_25
    • 代码：代码未开源

ACML

]]> https://blog.karltan.com/paper-list/2025-ope.html 2026-07-02T14:29:51.000Z 整理的2025年Object Pose Estimation顶会论文列表。 【论文列表】2025年Object Pose Estimation顶会论文列表 2026-07-02T14:29:51.000Z Karl 在家目录下，新建一个文件名为.tmux.conf的文件，将下面的内容写入文件，即可完成配置。

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set-option -g status-keys vi
setw -g mode-keys vi

setw -g monitor-activity on

# setw -g c0-change-trigger 10
# setw -g c0-change-interval 100

# setw -g c0-change-interval 50
# setw -g c0-change-trigger  75

set-window-option -g automatic-rename on
set-option -g set-titles on
set -g history-limit 100000

# set-window-option -g utf8 on

# set command prefix
set-option -g prefix C-a
unbind-key C-b
bind-key C-a send-prefix

bind h select-pane -L
bind j select-pane -D
bind k select-pane -U
bind l select-pane -R

bind -n M-Left select-pane -L
bind -n M-Right select-pane -R
bind -n M-Up select-pane -U
bind -n M-Down select-pane -D

bind < resize-pane -L 7
bind > resize-pane -R 7
bind - resize-pane -D 7
bind + resize-pane -U 7

bind-key -n M-l next-window
bind-key -n M-h previous-window

set -g status-interval 1
# status bar
set -g status-bg black
set -g status-fg blue

# set -g status-utf8 on
set -g status-justify centre
set -g status-bg default
set -g status-left " #[fg=green]#S@#H #[default]"
set -g status-left-length 20

# mouse support
# for tmux 2.1
# set -g mouse-utf8 on
set -g mouse on

# for previous version
# set -g mode-mouse on
# set -g mouse-resize-pane on
# set -g mouse-select-pane on
# set -g mouse-select-window on

# set -g status-right-length 25
set -g status-right "#[fg=green]%H:%M:%S #[fg=magenta]%a %m-%d #[default]"

# fix for tmux 1.9
bind '"' split-window -vc "#{pane_current_path}"
bind '%' split-window -hc "#{pane_current_path}"
bind 'c' new-window -c "#{pane_current_path}"

# run-shell "powerline-daemon -q"

# vim: ft=conf
]]> https://blog.karltan.com/setup/tmux-configuration-file.html 2026-06-12T15:29:13.000Z 自用的tmux配置文件。 【环境配置】tmux配置文件 2026-06-12T15:29:13.000Z Karl 在家目录下，新建一个文件名为.vimrc的文件，将下面的内容写入文件，即可完成配置。

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" An example for a vimrc file.
"
" To use it, copy it to
"   for Unix and OS/2: ~/.vimrc
"   for Amiga: s:.vimrc
"   for MS-DOS and Win32: $VIM\_vimrc
"   for OpenVMS: sys$login:.vimrc

" When started as "evim", evim.vim will already have done these settings.
if v:progname =~? "evim"
  finish
endif

" Use Vim settings, rather then Vi settings (much better!).
" This must be first, because it changes other options as a side effect.
set nocompatible

" allow backspacing over everything in insert mode
set backspace=indent,eol,start

if has("vms")
  set nobackup  " do not keep a backup file, use versions instead
else
  set backup    " keep a backup file
endif
set history=50  " keep 50 lines of command line history
set ruler       " show the cursor position all the time
set showcmd     " display incomplete commands
set incsearch   " do incremental searching
"==========================================================================
" My Setting
"==========================================================================
vmap <leader>y :w! /tmp/vitmp<CR>
nmap <leader>p :r! cat /tmp/vitmp<CR>

" 语法高亮
syntax enable
syntax on
" 显示行号
set nu

" 修改默认注释颜色
" hi Comment ctermfg=DarkCyan
" 允许退格键删除
" set backspace=2
" 启用鼠标
set mouse=a
set selection=exclusive
set selectmode=mouse,key
" 按C语言格式缩进
set cindent
set autoindent
set smartindent
set shiftwidth=4

" 允许在有未保存的修改时切换缓冲区
" set hidden

" 设置无备份文件
set writebackup
set nobackup

" 显示括号匹配
set showmatch
" 括号匹配显示时间为1(单位是十分之一秒)
set matchtime=5
" 显示当前的行号列号：
set ruler
" 在状态栏显示正在输入的命令
set showcmd

set foldmethod=syntax
" 默认情况下不折叠
set foldlevel=100
" 开启状态栏信息
set laststatus=2
" 命令行的高度，默认为1，这里设为2
set cmdheight=2


" 显示Tab符，使用一高亮竖线代替
set list
" set listchars=tab:\|\ ,
set listchars=tab:>-,trail:-


" 侦测文件类型
filetype on
" 载入文件类型插件
filetype plugin on
" 为特定文件类型载入相关缩进文件
filetype indent on
" 启用自动补全
filetype plugin indent on


" 设置编码自动识别，中文引号显示
filetype on " 打开文件类型检测
" set fileencodings=euc-cn,ucs-bom,utf-8,cp936,gb2312,gb18030,gbk,big5,euc-jp,euc-kr,latin1
set fileencodings=utf-8,gb2312,gbk,gb18030
" 这个功能很给劲，不管encoding是什么编码，都能将文本显示汉字
" set termencoding=gb2312
set termencoding=utf-8
" 新建文件使用的编码
set fileencoding=utf-8
" set fileencoding=gb2312
" 用于显示的编码，仅仅是显示
set encoding=utf-8
" set encoding=utf-8
" set encoding=euc-cn
" set encoding=gbk
" set encoding=gb2312
" set ambiwidth=double
set fileformat=unix


" 设置高亮搜索
set hlsearch
" 在搜索时，输入的词句的逐字符高亮
set incsearch

" 着色模式
set t_Co=256
" colorscheme wombat256mod
" colorscheme gardener
" colorscheme elflord
colorscheme desert
" colorscheme evening
" colorscheme darkblue
" colorscheme torte
" colorscheme default

" 字体 && 字号
" set guifont=Monaco:h10
set guifont=Consolas:h10

" ======= 引号 && 括号自动匹配 ======= "
"
" :inoremap ( ()<ESC>i

" :inoremap ) <c-r>=ClosePair(')')<CR>
"
" :inoremap { {}<ESC>i
"
" :inoremap } <c-r>=ClosePair('}')<CR>
"
" :inoremap [ []<ESC>i
"
" :inoremap ] <c-r>=ClosePair(']')<CR>
"
" :inoremap < <><ESC>i
"
" :inoremap > <c-r>=ClosePair('>')<CR>
"
" :inoremap " ""<ESC>i
"
" :inoremap ' ''<ESC>i
"
" :inoremap ` ``<ESC>i
"
" :inoremap * **<ESC>i

" 每行超过80个的字符用下划线标示
" au BufRead,BufNewFile *.s,*.asm,*.h,*.c,*.cpp,*.java,*.cs,*.lisp,*.el,*.erl,*.tex,*.sh,*.lua,*.pl,*.php,*.tpl,*.py,*.rb,*.erb,*.vim,*.js,*.jade,*.coffee,*.css,*.xml,*.html,*.shtml,*.xhtml Underlined /.\%81v/
"
"
" For Win32 GUI: remove 't' flag from 'guioptions': no tearoff menu entries
" let &guioptions = substitute(&guioptions, "t", "", "g")

" Don't use Ex mode, use Q for formatting
map Q gq

" This is an alternative that also works in block mode, but the deleted
" text is lost and it only works for putting the current register.
" vnoremap p "_dp

" Switch syntax highlighting on, when the terminal has colors
" Also switch on highlighting the last used search pattern.
if &t_Co > 2 || has("gui_running")
  syntax on
  set hlsearch
endif

" Only do this part when compiled with support for autocommands.
if has("autocmd")

  " Enable file type detection.
  " Use the default filetype settings, so that mail gets 'tw' set to 72,
  " 'cindent' is on in C files, etc.
  " Also load indent files, to automatically do language-dependent indenting.
  filetype plugin indent on

  " Put these in an autocmd group, so that we can delete them easily.
  augroup vimrcEx
  au!

  " For all text files set 'textwidth' to 80 characters.
  autocmd FileType text setlocal textwidth=80

  " When editing a file, always jump to the last known cursor position.
  " Don't do it when the position is invalid or when inside an event handler
  " (happens when dropping a file on gvim).
  autocmd BufReadPost *
    \ if line("'\"") > 0 && line("'\"") <= line("$") |
    \   exe "normal g`\"" |
    \ endif

  augroup END

else

  set autoindent " always set autoindenting on

endif " has("autocmd")

" 增加鼠标行高亮
set cursorline
hi CursorLine cterm=NONE ctermbg=darkred ctermfg=white

" 设置tab是四个空格
set ts=4
set expandtab

" 主要给Tlist使用
let Tlist_Exit_OnlyWindow = 1
let Tlist_Auto_Open = 1
]]> https://blog.karltan.com/setup/vim-configuration-file.html 2026-06-12T15:28:42.000Z 自用的vim配置文件。 【环境配置】vim配置文件 2026-06-12T15:28:42.000Z Karl Welcome to Hexo! This is your veryfirst post. Check documentation formore info. If you get any problems when using Hexo, you can find theanswer in troubleshooting oryou can ask me on GitHub.

Quick Start

Create a new post

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$ hexo new "My New Post"

More info: Writing

Run server

1
$ hexo server

More info: Server

Generate static files

1
$ hexo generate

More info: Generating

Deploy to remote sites

1
$ hexo deploy

More info: Deployment

]]> https://blog.karltan.com/hello-world.html 2026-06-11T16:00:00.000Z Hello World Hello World 2026-06-11T16:00:00.000Z