From 13ccc6a6a89c8b6a40cb57619f0d8a2e0043ccbe Mon Sep 17 00:00:00 2001 From: JiangXinni <792793514@qq.com> Date: Wed, 17 Jan 2024 13:00:46 +0800 Subject: [PATCH] 20240117 project D2A2 --- README.md | 1 + bibs/D2A2.html | 20 ++ images/D2A2/model.png | Bin 0 -> 1581261 bytes images/icons/award.png | Bin 0 -> 10815 bytes images/icons/email.png | Bin 0 -> 44049 bytes images/icons/github.png | Bin 0 -> 7797 bytes images/icons/google.png | Bin 0 -> 8559 bytes images/icons/line1.gif | Bin 0 -> 8918 bytes images/icons/publication.png | Bin 0 -> 9931 bytes images/icons/sun.png | Bin 0 -> 5913 bytes images/icons/zhihu.png | Bin 0 -> 5827 bytes images/logo.png | Bin 0 -> 13901 bytes images/me.jpg | Bin 0 -> 245923 bytes index.html | 166 +++++++++++ projects/D2A2/index.html | 317 +++++++++++++++++++++ projects/D2A2/juxtapose_images/1_left.png | Bin 0 -> 103230 bytes projects/D2A2/juxtapose_images/1_right.png | Bin 0 -> 109026 bytes projects/D2A2/juxtapose_images/2_left.png | Bin 0 -> 101568 bytes projects/D2A2/juxtapose_images/2_right.png | Bin 0 -> 107506 bytes projects/D2A2/juxtapose_images/3_left.png | Bin 0 -> 68062 bytes projects/D2A2/juxtapose_images/3_right.png | Bin 0 -> 75965 bytes projects/D2A2/juxtapose_images/4_left.png | Bin 0 -> 112070 bytes projects/D2A2/juxtapose_images/4_right.png | Bin 0 -> 116228 bytes projects/D2A2/juxtapose_images/5_left.png | Bin 0 -> 100398 bytes projects/D2A2/juxtapose_images/5_right.png | Bin 0 -> 112604 bytes projects/D2A2/juxtapose_images/6_left.png | Bin 0 -> 74468 bytes projects/D2A2/juxtapose_images/6_right.png | Bin 0 -> 77933 bytes projects/D2A2/juxtapose_images/7_left.png | Bin 0 -> 79579 bytes projects/D2A2/juxtapose_images/7_right.png | Bin 0 -> 81516 bytes projects/D2A2/line.png | Bin 0 -> 18312 bytes projects/D2A2/model.png | Bin 0 -> 1581261 bytes projects/D2A2/result1.png | Bin 0 -> 2551405 bytes projects/D2A2/result2.png | Bin 0 -> 2581896 bytes projects/D2A2/result3.png | Bin 0 -> 3897434 bytes projects/projects.css | 130 +++++++++ stylesheet.css | 146 ++++++++++ 36 files changed, 780 insertions(+) create mode 100644 README.md create mode 100644 bibs/D2A2.html create mode 100644 images/D2A2/model.png create mode 100644 images/icons/award.png create mode 100644 images/icons/email.png create mode 100644 images/icons/github.png create mode 100644 images/icons/google.png create mode 100644 images/icons/line1.gif create mode 100644 images/icons/publication.png create mode 100644 images/icons/sun.png create mode 100644 images/icons/zhihu.png create mode 100644 images/logo.png create mode 100644 images/me.jpg create mode 100644 index.html create mode 100644 projects/D2A2/index.html create mode 100644 projects/D2A2/juxtapose_images/1_left.png create mode 100644 projects/D2A2/juxtapose_images/1_right.png create mode 100644 projects/D2A2/juxtapose_images/2_left.png create mode 100644 projects/D2A2/juxtapose_images/2_right.png create mode 100644 projects/D2A2/juxtapose_images/3_left.png create mode 100644 projects/D2A2/juxtapose_images/3_right.png create mode 100644 projects/D2A2/juxtapose_images/4_left.png create mode 100644 projects/D2A2/juxtapose_images/4_right.png create mode 100644 projects/D2A2/juxtapose_images/5_left.png create mode 100644 projects/D2A2/juxtapose_images/5_right.png create mode 100644 projects/D2A2/juxtapose_images/6_left.png create mode 100644 projects/D2A2/juxtapose_images/6_right.png create mode 100644 projects/D2A2/juxtapose_images/7_left.png create mode 100644 projects/D2A2/juxtapose_images/7_right.png create mode 100644 projects/D2A2/line.png create mode 100644 projects/D2A2/model.png create mode 100644 projects/D2A2/result1.png create mode 100644 projects/D2A2/result2.png create mode 100644 projects/D2A2/result3.png create mode 100644 projects/projects.css create mode 100644 stylesheet.css diff --git a/README.md b/README.md new file mode 100644 index 0000000..07e9d18 --- /dev/null +++ b/README.md @@ -0,0 +1 @@ +This is the source code of Xin-Ni Jiang (姜欣妮)'s public academic website: https://JiangXinni.github.io \ No newline at end of file diff --git a/bibs/D2A2.html b/bibs/D2A2.html new file mode 100644 index 0000000..827a31c --- /dev/null +++ b/bibs/D2A2.html @@ -0,0 +1,20 @@ + + + + Xin-Ni Jiang + + + + + + + + + + @article{jiang2024the,
+   title={The Devil is in the Details: Boosting Guided Depth Super-Resolution via Rethinking Cross-Modal Alignment and Aggregation},
+   author={Jiang, Xinni and Kuang, Zengsheng and Guo, Chunle and Zhang, Ruixun and Lei Cai and Xiao Fan and Li, Chongyi},
+   journal={arXiv preprint arXiv:2401.08123},
+   year={2024}
+ } + \ No newline at end of file diff --git a/images/D2A2/model.png b/images/D2A2/model.png new file mode 100644 index 0000000000000000000000000000000000000000..fcda6061d6b8e22f97892755823d8b00a3260c91 GIT binary patch literal 1581261 zcmeFZcT`hpzdf$w*hNG{q>oeq5$RF_O7Fc$3rdT0>5u@i0n(*}9wNOHdJhb}6X_kK z1PCQSr~wkbao%^mYu(?ybJzU+TlcJ-mE@e9r$77bv!DG*h_#h*_@zrXTWDF9Q#PCp*zG^o%G4h-Pt(&kg9W_-0=j=fyu#Ms($yzg^|4l8Fpi4b;+Tc5_; z{Pspmja?*_IbywuC4g-iVQhRY#8yE`DPZ|n21P+G&fjelS2+NGcka@q51R+f94Ol6 zi)EzD>G=eU+`Zpl{i9cVj}~dsD21tU;i!QF#p}|H@;Uze?Bb74f86+IF9w1P>D0l< zF~y(}dSJ={ID2~*7kEWeg?|d{usNx_IT?M(_s>$g@yYL&d%IrMPdp{5tC_Ts-KVLx z;|&I1ydHLEZgA_6whKUI9kY zX^Gf{zLtkH)jf zCj;7gIR4>K`< z|KaGnfzR(Ds2R;S{?tFT9hdZml8iJ}c8YH&OsIiVP*O8z@dsO6=c@y1nsPfCM8>tp z|G2E9E8F|DZ~>nb4%DFv_#!nXjre6hVWHj!vxMPIKu$(Upk@Ej4Ez1nH?4q@7ajHF zA=c=**Slq|xrT!h*EEM`{8~>R0nXAL5LfBYCai5az>>3F^Q9 z`6cN+={IY4|5vP72#jI=`xO54lvSbp`_n%q(zCAr{pt5`?cx8WHno~hu$TY-YBR35 zgTFs}sf1b;{J)%@xcR?Ud-KcxRr|lS-v9OXe`^x*f&Uxi|5K~{|8QZYE++5urG(~o 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+ + + + + + +
+ + + + + + +
+

+ + Xin-Ni Jiang (姜欣妮) +

+

+ + + Github  |  + + Email: xinnijiang@mail.nankai.edu.cn + +

+

+ Xin-Ni Jiang is a master student at Nankai University, + majoring in computer science, + under the supervision of Prof. Xiu-Li Shao and Chun-Le Guo. + She received the B.E. degree from Nankai University (NKU) in 2022. + Her research interests are in computer vision and machine learning, + with a particular focus on image enhancement and restoration. +

+
+ profile photo +
+ + + + + + Publications + + +

+ + + + + + + + + +
+ + + + + The Devil is in the Details: Boosting Guided Depth Super-Resolution via Rethinking Cross-Modal Alignment and Aggregation + +

+
+ Xin-Ni Jiang#, Zeng-Sheng Kuang#, Chun-Le Guo*, Rui-Xun Zhang, Lei Cai, Xiao Fan, Chong-Yi Li* +
+ + + + +
+

+ PDF  |  + + Project  |  + Code  |  + BibTex +

+
+ + + +
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zT4sNfZt>!3YWwTA9}uJ10BJ&2fMi@h0UYJ^2|`=1CfCeU6{vHx(Xqfq?^dxNA&#B5 zN19|Cu1XH%WX9KAg(&T>A0U;3HLTq%t+DCxG#Z8Txkrx>^gt|wOKDeXm0xAl8y6Ue1$))RGuBsph)1ZGsMHO@WzJLmSka

+ +
+ The Devil is in the Details: Boosting Guided Depth Super-Resolution via Rethinking Cross-Modal Alignment and Aggregation +
+
+ Xin-Ni Jiang1,#    + Zeng-Sheng Kuang2,#    + Chun-Le Guo1,*    + Rui-Xun Zhang3    + Lei Cai4    + Xiao Fan5    + Chong-Yi Li1,*    +
+
+ 1Nankai University    + 2South China University of Technology    + 3Peking University   
+ 4Henan Institute of Science and Technology    + 5MicroBT Electronics Technology Co., Ltd    +
+ + +
+ + + +
+
+

🔥 Powerful Super-Resolution Reconstruction Ability 🔥

+

+ Our D2A2 achieves amazing super-resolution performance benefits from Dynamic Dual Alignment and Mask-to-Pixel Feature Aggregation. + Here are some typical super-resolution cases. +

+ + + + + + + +
+ + + + + + + + +
+ + + + + + + +
+
+
+ + + + +
+
+

Abstract

+

+ Guided depth super-resolution (GDSR) involves restoring missing depth details using the high-resolution RGB image of the same scene. Previous approaches have struggled with the heterogeneity and complementarity of the multi-modal inputs, and neglected the issues of modal misalignment, geometrical misalignment, and feature selection. In this study, we rethink some essential components in GDSR networks and propose a simple yet effective Dynamic Dual Alignment and Aggregation network (D2A2). D2A2 mainly consists of 1) a dynamic dual alignment module that adapts to alleviate the modal misalignment via a learnable domain alignment block and geometrically align cross-modal features by learning the offset; and 2) a mask-to-pixel feature aggregate module that uses the gated mechanism and pixel attention to filter out irrelevant texture noise from RGB features and combine the useful features with depth features. By combining the strengths of RGB and depth features while minimizing disturbance introduced by the RGB image, our method with simple reuse and redesign of basic components achieves state-of-the-art performance on multiple benchmark datasets. +

+
+ +
+

Method

+ +

+ (a) is an overview of the proposed D2A2 network. + D2A2 consists of two core modules: + the dynamic dual alignment (DDA) module + and the mask-to-pixel feature aggregation (MFA) module. + The backbone of D2A2 is a multi-scale architecture with global skip-connection. + At each scale, Fd and the corresponding Frgb + pass through DDA for modal and geometric alignment, + then the aligned Frgb and Fd + pass through MFA to obtain the effective feature + Fmasked and fuse it with Fd. + (b) and (c) are the specific structures of DDA and MFA, respectively. + DDA comprises a learnable domain alignment block (LDA) + and a dynamic geometrical alignment block (DGA). + MFA comprises a gated convolution (GC) + and a pixel attention (PA) block. +

+
+ +
+

+ Visual Comparisons +

+ +

+ +

+ + +
+ +
+

+ BibTex +

+ +
+                    
+@article{jiang2024the,
+        title={The Devil is in the Details: Boosting Guided Depth Super-Resolution via Rethinking Cross-Modal Alignment and Aggregation},
+        author={Jiang, Xinni and Kuang, Zengsheng and Guo, Chunle and Zhang, Ruixun and Lei Cai and Xiao Fan and Li, Chongyi},
+        journal={arXiv preprint arXiv:2401.08123},
+        year={2024}
+}
+
+
+
+
+

+ Contact +

+

+ Feel free to contact us at xinnijiang@mail.nankai.edu.cn +

+
+
+ + + +
+

© Xin-Ni Jiang | Last updated: Jan. 2024

+
+

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