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diff --git a/README.md b/README.md
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                 <a href="https://github.com/DmitryRyumin/CVPR-2023-Papers/blob/main/sections/3d-from-multi-view-and-sensors.md">3D from Multi-View and Sensors</a>
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                 <a href="https://github.com/DmitryRyumin/CVPR-2023-Papers/blob/main/sections/3d-from-single-images.md">3D from Single Images</a>
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diff --git a/sections/3d-from-multi-view-and-sensors.md b/sections/3d-from-multi-view-and-sensors.md
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 | Command-Driven Articulated Object Understanding and Manipulation | :heavy_minus_sign: | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/CVPR2023/papers/Chu_Command-Driven_Articulated_Object_Understanding_and_Manipulation_CVPR_2023_paper.pdf) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=-UJBvLH93uM) |
 | SCADE: NeRFs from Space Carving With Ambiguity-Aware Depth Estimates | [![GitHub](https://img.shields.io/github/stars/mikacuy/scade?style=flat)](https://github.com/mikacuy/scade) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/CVPR2023/papers/Uy_SCADE_NeRFs_from_Space_Carving_With_Ambiguity-Aware_Depth_Estimates_CVPR_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2303.13582-b31b1b.svg)](http://arxiv.org/abs/2303.13582) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=5XwWZn-kjBU) |
 | Panoptic Lifting for 3D Scene Understanding with Neural Fields <br /> ![CVPR - Highlight](https://img.shields.io/badge/CVPR-Highlight-FFFF00) | [![GitHub](https://img.shields.io/github/stars/nihalsid/panoptic-lifting?style=flat)](https://github.com/nihalsid/panoptic-lifting) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com/content/CVPR2023/papers/Siddiqui_Panoptic_Lifting_for_3D_Scene_Understanding_With_Neural_Fields_CVPR_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2212.09802-b31b1b.svg)](https://arxiv.org/abs/2212.09802) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://youtu.be/QtsiL-6rSuM) |
-| PaletteNeRF: Palette-based Appearance Editing of Neural Radiance Fields | | | |
-| NeRFLiX: High-Quality Neural View Synthesis by Learning a Degradation-Driven Inter-Viewpoint MiXer | | | |
-| SegLoc: Learning Segmentation-based Representations for Privacy-Preserving Visual Localization | | | |
+| PaletteNeRF: Palette-Based Appearance Editing of Neural Radiance Fields | [![GitHub](https://img.shields.io/github/stars/zfkuang/PaletteNeRF?style=flat)](https://github.com/zfkuang/PaletteNeRF) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Kuang_PaletteNeRF_Palette-Based_Appearance_Editing_of_Neural_Radiance_Fields_CVPR_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2212.10699-b31b1b.svg)](http://arxiv.org/abs/2212.10699)| :heavy_minus_sign: |
+| NeRFLix: High-Quality Neural View Synthesis by Learning a Degradation-Driven Inter-Viewpoint MiXer | [![GitHub](https://img.shields.io/github/stars/redrock303/NeRFLiX_CVPR2023?style=flat)](https://github.com/redrock303/NeRFLiX_CVPR2023) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Zhou_NeRFLix_High-Quality_Neural_View_Synthesis_by_Learning_a_Degradation-Driven_Inter-Viewpoint_CVPR_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2303.06919-b31b1b.svg)](http://arxiv.org/abs/2303.06919)| :heavy_minus_sign: |
+| SegLoc: Learning Segmentation-Based Representations for Privacy-Preserving Visual Localization | :heavy_minus_sign: | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Pietrantoni_SegLoc_Learning_Segmentation-Based_Representations_for_Privacy-Preserving_Visual_Localization_CVPR_2023_paper.pdf) | :heavy_minus_sign: |
 | expOSE: Accurate Initialization-Free Projective Factorization using Exponential Regularization | | | |
 | Neural Vector Fields: Implicit Representation by Explicit Learning | | | |
 | Unsupervised Inference of Signed Distance Functions from Single Sparse Point Clouds without Learning Priors | | | |

diff --git a/sections/3d-from-single-images.md b/sections/3d-from-single-images.md
@@ -67,12 +67,12 @@
 | gSDF: Geometry-Driven Signed Distance Functions for 3D Hand-Object Reconstruction | [![GitHub](https://img.shields.io/github/stars/zerchen/gSDF?style=flat)](https://github.com/zerchen/gSDF) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Chen_gSDF_Geometry-Driven_Signed_Distance_Functions_for_3D_Hand-Object_Reconstruction_CVPR_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2304.11970-b31b1b.svg)](http://arxiv.org/abs/2304.11970) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=cchVcU32Zlo) |
 | Accidental Light Probes | [![GitHub](https://img.shields.io/github/stars/KovenYu/ALP?style=flat)](https://github.com/KovenYu/ALP) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Yu_Accidental_Light_Probes_CVPR_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2301.05211-b31b1b.svg)](http://arxiv.org/abs/2301.05211) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=WxfuC1GTnJ8) |
 | Learning To Predict Scene-Level Implicit 3D From Posed RGBD Data | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://nileshkulkarni.github.io/d2drdf/) <br /> [![GitHub](https://img.shields.io/github/stars/nileshkulkarni/d2drdf?style=flat)](https://github.com/nileshkulkarni/d2drdf/) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Kulkarni_Learning_To_Predict_Scene-Level_Implicit_3D_From_Posed_RGBD_Data_CVPR_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2306.08671-b31b1b.svg)](https://arxiv.org/abs/2306.08671) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=cp7iMF9JWHM) |
-| DPF: Learning <u>D</u>ense <u>P</u>rediction <u>F</u>ields with Weak Supervision |  |  |  |
-| DIFu: Depth-guided Implicit Function for Clothed Human Reconstruction |  |  |  |
-| OrienterNet: Visual Localization in 2D Public Maps with Neural Matching |  |  |  |
-| Im2Hands: Learning Attentive Implicit Representation of Interacting Two-Hand Shapes |  |  |  |
-| Structured 3D Features for Reconstructing Controllable Avatars |  |  |  |
-| Delving into Discrete Normalizing Flows on SO(3) Manifold for Probabilistic Rotation Modeling |  |  |  |
+| DPF: Learning Dense Prediction Fields With Weak Supervision | [![GitHub](https://img.shields.io/github/stars/cxx226/DPF?style=flat)](https://github.com/cxx226/DPF) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Chen_DPF_Learning_Dense_Prediction_Fields_With_Weak_Supervision_CVPR_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2303.16890-b31b1b.svg)](http://arxiv.org/abs/2303.16890)| [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=LUruPFAimZk) |
+| DIFu: Depth-Guided Implicit Function for Clothed Human Reconstruction | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://eadcat.github.io/DIFu/) <br /> [![GitHub](https://img.shields.io/github/stars/EadCat/DIFu?style=flat)](https://github.com/EadCat/DIFu) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Song_DIFu_Depth-Guided_Implicit_Function_for_Clothed_Human_Reconstruction_CVPR_2023_paper.pdf) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=uNMnCeBVWak) |
+| OrienterNet: Visual Localization in 2D Public Maps With Neural Matching | [![WEB Page](https://img.shields.io/badge/WEB-Page-159957.svg)](https://psarlin.com/orienternet/) <br /> [![GitHub](https://img.shields.io/github/stars/facebookresearch/OrienterNet?style=flat)](https://github.com/facebookresearch/OrienterNet) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Sarlin_OrienterNet_Visual_Localization_in_2D_Public_Maps_With_Neural_Matching_CVPR_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2304.02009-b31b1b.svg)](http://arxiv.org/abs/2304.02009) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=wglW8jnupSs) |
+| Im2Hands: Learning Attentive Implicit Representation of Interacting Two-Hand Shapes |  [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://jyunlee.github.io/projects/implicit-two-hands/) <br /> [![GitHub](https://img.shields.io/github/stars/jyunlee/Im2Hands?style=flat)](https://github.com/jyunlee/Im2Hands) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Lee_Im2Hands_Learning_Attentive_Implicit_Representation_of_Interacting_Two-Hand_Shapes_CVPR_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2302.14348-b31b1b.svg)](http://arxiv.org/abs/2302.14348)| :heavy_minus_sign: |
+| Structured 3D Features for Reconstructing Controllable Avatars | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://enriccorona.github.io/s3f/) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Corona_Structured_3D_Features_for_Reconstructing_Controllable_Avatars_CVPR_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2212.06820-b31b1b.svg)](http://arxiv.org/abs/2212.06820)| [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=mcZGcQ6L-2s) |
+| Delving Into Discrete Normalizing Flows on SO(3) Manifold for Probabilistic Rotation Modeling | :heavy_minus_sign: | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Liu_Delving_Into_Discrete_Normalizing_Flows_on_SO3_Manifold_for_Probabilistic_CVPR_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2304.03937-b31b1b.svg)](http://arxiv.org/abs/2304.03937) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=0t_GyLGsmV8) |
 | High-Fidelity 3D Human Digitization from Single 2K Resolution Images |  |  |  |
 | Learning 3D-Aware Image Synthesis with Unknown Pose Distribution |  |  |  |
 | DP-NeRF: Deblurred Neural Radiance Field with Physical Scene Priors |  |  |  |