📖 Guided Depth Map Super-resolution: A Survey
Accepted by ACM CSUR.
If you find this project useful, please cite:
Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, and Xiangyang Ji. 2023. Guided Depth Map Super-resolution: A Survey. ACM Comput. Surv. Just Accepted (February 2023). https://doi.org/10.1145/3584860
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Clone repo
git https://github.com/zhwzhong/Awesome-Guided-Depth-Map-Super-resolution.git
cd Awesome-Guided-Depth-Map-Super-resolution/code
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Install dependent packages
pip install -r requirements.txt
- NYU 2. Sintel 3.DIDOE 4. SUN RGB 5. RGB-D-D 6. DIML
python main.py --scale=SCALE --dataset_name='NYU' --model_name=MODEL NAME
python main.py --scale=SCALE --dataset_name='NYU' --model_name=MODEL NAME --test_only
Awesome Guided Depth Map Super-resolution 
| Type |
F |
P |
L |
| Explanation |
Filtering-based |
Prior-based |
Learning-based |
| Title |
Venue |
Type |
Code |
| Joint depth map super-resolution method via deep hybrid-cross guidance filter |
PR |
P |
-- |
| Recurrent Structure Attention Guidance for Depth Super-Resolution |
AAAI |
L |
-- |
| Structure Flow-Guided Network for Real Depth Super-Resolution |
AAAI |
L |
-- |
| Deep Attentional Guided Filtering |
TNNLS |
L&F |
Github |
| Fully Cross-Attention Transformer for Guided Depth Super-Resolution |
Sensors |
L |
-- |
| Spherical Space Feature Decomposition for Guided Depth Map Super-Resolution |
arxiv |
L&P |
-- |
| Depth Super-Resolution from Explicit and Implicit High-Frequency Features |
arxiv |
L |
-- |
| Self-Supervised Learning for RGB-Guided Depth Enhancement by Exploiting the Dependency Between RGB and Depth |
TIP |
L |
Github |
| Title |
Venue |
Type |
Code |
| PDR-Net: Progressive depth reconstruction network for color guided depth map super-resolution |
NC |
L |
-- |
| Multi-Modal Convolutional Dictionary Learning |
TIP |
L |
-- |
| Toward Unaligned Guided Thermal Super-Resolution |
TIP |
L |
GitHub |
| Joint image denoising with gradient direction and edge-preserving regularization |
PR |
P |
-- |
| Learning Graph Regularisation for Guided Super-Resolution |
CVPR |
P |
GitHub |
| Discrete Cosine Transform Network for Guided Depth Map Super-Resolution |
CVPR |
L |
Github |
| Learning Complementary Correlations for Depth Super-Resolution With Incomplete Data in Real World. |
TNNLS |
L |
-- |
| Memory-augmented Deep Unfolding Network for Guided Image Super-resolution |
IJCV |
L&P |
Github |
| CODON: On orchestrating cross-domain attentions for depth super-resolution |
IJCV |
L |
Github |
| Local Attention Guided Joint Depth Upsampling |
VMV |
L |
-- |
| Depth Map Super-Resolution via Cascaded Transformers Guidance |
FRSIP |
L |
-- |
| Title |
Venue |
Type |
Code |
| Deformable Kernel Network for Joint Image Filtering |
IJCV |
L&F |
Github |
| Towards Fast and Accurate Real-World Depth Super-Resolution: Benchmark Dataset and Baseline |
CVPR |
L |
Github |
| Joint Implicit Image Function for Guided Depth Super-Resolution |
ACMMM |
L |
Github |
| BridgeNet: A Joint Learning Network of Depth Map Super-Resolution and Monocular Depth Estimation |
ACMMM |
L |
-- |
| Deformable Enhancement and Adaptive Fusion for Depth Map Super-Resolution |
SPL |
L |
-- |
| RGB GUIDED DEPTH MAP SUPER-RESOLUTION WITH COUPLED U-NET |
ICME |
L |
-- |
| High-resolution Depth Maps Imaging via Attention-based Hierarchical Multi-modal Fusion |
TIP |
L |
Github |
| Learning Spatially Variant Linear Representation Models for Joint Filtering |
TPAMI |
L |
Github |
| Multimodal Deep Unfolding for Guided Image Super-Resolution |
TIP |
L |
-- |
| CU-Net+: Deep Fully Interpretable Network for Multi-Modal Image Restoration |
ICIP |
L |
-- |
| Unsharp Mask Guided Filtering |
TIP |
F |
Github |
| Deep edge map guided depth super resolution |
SP:IC |
L |
-- |
| Depth Super-Resolution by Texture-Depth Transformer |
ICME |
L |
-- |
| Frequency-Dependent Depth Map Enhancement via Iterative Depth-Guided Affine Transformation and Intensity-Guided Refinement |
TMM |
L |
Github |
| Depth Map Super-resolution Based on Dual Normal-depth Regularization and Graph Laplacian Prior |
TCSVT |
P |
-- |
| Dual Regularization Based Depth Map Super-Resolution with Graph Laplacian Prior |
ICME |
P |
-- |
| MIG-net: Multi-scale Network Alternatively Guided by Intensity and Gradient Features for Depth Map Super-resolution |
TMM |
L |
Github |
| Depth Map Super-Resolution By Multi-Direction Dictionary And Joint Regularization |
ICME |
P |
-- |
| Unpaired Depth Super-Resolution in the Wild |
arXiv |
L |
-- |
| WAFP-Net: Weighted Attention Fusion based Progressive Residual Learning for Depth Map Super-resolution |
TMM |
L&P |
Github |
| Learning Scene Structure Guidance via Cross-Task Knowledge Transfer for Single Depth Super-Resolution |
CVPR |
L |
Github |
| Progressive Multi-scale Reconstruction for Guided Depth Map Super-Resolution via Deep Residual Gate Fusion Network |
CGI |
L |
-- |
| A Generalized Framework for Edge-preserving and Structure-preserving Image Smoothing |
TPAMI |
|
Github |
| Depth Image Super-resolution via Two-Branch Network |
ICCSSP |
L |
-- |
| Depth Map Reconstruction and Enhancement With Local and Patch Manifold Regularized Deep Depth Priors |
Access |
P |
-- |
| Single Pair Cross-Modality Super Resolution |
CVPR |
L |
Github |
| Unpaired Depth Super-Resolution in the Wild |
arXiv |
L |
-- |
| Depth map super-resolution based on edge-guided joint trilateral upsampling |
TVC |
F |
-- |
| Depth Map Super-Resolution Using Guided Deformable Convolution |
Access |
L |
-- |
| Fast, High-Quality Hierarchical Depth-Map Super-Resolution |
ACMMM |
L&F |
Github |
| Title |
Venue |
Type |
Code |
| Deep Convolutional Neural Network for Multi-Modal Image Restoration and Fusion |
TPAMI |
L&P |
GitHub |
| Multimodal Deep Unfolding for Guided Image Super-Resolution |
TIP |
L&P |
-- |
| Probabilistic Pixel-Adaptive Refinement Networks |
CVPR |
L&F |
Github |
| Multi-Direction Dictionary Learning Based Depth Map Super-Resolution With Autoregressive Modeling |
TIP |
P |
-- |
| Single depth map super-resolution via joint non-local and local modeling |
MMSP |
P |
-- |
| Channel Attention Based Iterative Residual Learning for Depth Map Super-Resolution |
CVPR |
L |
Github |
| Guided Deep Decoder: Unsupervised Image Pair Fusion |
ECCV |
L |
Github |
| PMBANet: Progressive Multi-Branch Aggregation Network for Scene Depth Super-Resolution |
TIP |
L |
Github |
| Depth Super-Resolution via Deep Controllable Slicing Network |
ACMMM |
L |
-- |
| Learning Factorized Weight Matrix for Joint Filtering |
ICML |
L&F |
Github |
| Deep Convolutional Grid Warping Network for Joint Depth Map Upsampling |
Access |
L |
-- |
| Guided Depth Map Super-Resolution Using Recumbent Y Network |
Access |
L |
-- |
| DAEANet: Dual auto-encoder attention network for depth map super-resolution |
NN |
L |
-- |
| Depth upsampling based on deep edge-aware learning |
PR |
L |
Github |
| Coupled Real-Synthetic Domain Adaptation for Real-World Deep Depth Enhancemen |
TIP |
L |
-- |
| Depth image super-resolution using correlation-controlled color guidance and multi-scale symmetric network |
PR |
L |
-- |
| Edge-Guided Depth Image Super-Resolution Based on KSVD |
Access |
P |
-- |
| Depth Map Enhancement by Revisiting Multi-Scale Intensity Guidance Within Coarse-to-Fine Stages |
TCSVT |
L |
Github |
| FMPN: Fusing Multiple Progressive CNNs for Depth Map Super-Resolution |
Access |
L |
-- |
| Multi-Scale Frequency Reconstruction for Guided Depth Map Super-Resolution via Deep Residual Network |
TCSVT |
L |
Github |
| Learned Dynamic Guidance for Depth Image Reconstruction |
TPAMI |
L&P |
-- |
| Color-Guided Depth Image Recovery With Adaptive Data Fidelity and Transferred Graph Laplacian Regularization |
TCSVT |
P |
-- |
| Weighted Guided Image Filtering With Steering Kerne |
TIP |
F |
Github |
| Weakly Aligned Joint Cross-Modality Super Resolution |
RSVT |
L |
-- |
| Depth image super-resolution based on joint sparse coding |
PRL |
P |
-- |
| Title |
Venue |
Type |
Code |
| Perceptual Deep Depth Super-Resolution |
ICCV |
L |
GitHub |
| Spatially Variant Linear Representation Models for Joint Filtering |
ICCV |
L |
-- |
| Deep Coupled ISTA Network for Multi-Modal Image Super-Resolution |
TIP |
L |
Github |
| Pixel-Adaptive Convolutional Neural Networks |
CVPR |
L&F |
Github |
| Joint Image Filtering with Deep Convolutional Networks |
TPAMI |
L |
Github |
| Guided Super-Resolution As Pixel-to-Pixel Transformation |
ICCV |
L |
Github |
| Deep Color Guided Coarse-to-Fine Convolutional Network Cascade for Depth Image Super-Resolution |
TIP |
L&F |
-- |
| Pyramid-Structured Depth MAP Super-Resolution Based on Deep Dense-Residual Network |
SPL |
L |
-- |
| A Novel Segmentation Based Depth Map Up-Sampling |
TMM |
P |
-- |
| Simultaneous color-depth super-resolution with conditional generative adversarial networks |
PR |
L |
Github |
| Residual dense network for intensity-guided depth map enhancement |
BMVC |
L |
Github |
| RADAR: Robust Algorithm for Depth Image Super Resolution Based on FRI Theory and Multimodal Dictionary Learning |
TCSVT |
P |
-- |
| Multiscale Directional Fusion for Depth Map Super Resolution with Denoising |
ICASSP |
L |
-- |
| Multi-Direction Dictionary Learning Based Depth Map Super-Resolution with Autoregressive Modeling |
TMM |
P |
-- |
| Photometric Depth Super-Resolution |
TPAMI |
L |
Github |
| Alternately Guided Depth Super-resolution Using Weighted Least Squares and Zero-order Reverse Filtering |
ICASSP |
P |
-- |
| Depth Super-Resolution via Joint Color-Guided Internal and External Regularizations |
TIP |
P |
-- |
| Multiscale Directional Fusion for Depth Map Super Resolution with Denoising |
ICASSP |
P |
-- |
| Title |
Venue |
Type |
Code |
| Joint Bilateral Filter |
TIP |
F |
GitHub |
| Hierarchical Features Driven Residual Learning for Depth Map Super-Resolution |
TIP |
L |
Github |
| Depth Super-Resolution From RGB-D Pairs With Transform and Spatial Domain Regularization |
TIP |
P |
-- |
| Reconstruction-based Pairwise Depth Dataset for Depth Image Enhancement Using CNN |
ECCV |
L |
Github |
| Mutually Guided Image Filtering |
TPAMI |
F |
Github |
| Depth Restoration From RGB-D Data via Joint Adaptive Regularization and Thresholding on Manifolds |
TIP |
P |
-- |
| Depth Super-Resolution From RGB-D Pairs With Transform and Spatial Domain Regularization |
TIP |
P |
-- |
| Fast End-to-End Trainable Guided Filter |
CVPR |
L&F |
Github |
| Color-Guided Depth Map Super-Resolution via Joint Graph Laplacian and Gradient Consistency Regularization |
MMSP |
P |
-- |
| Single Depth Image Super-Resolution Using Convolutional Neural Networks |
ICASSP |
L |
-- |
| Fast Depth Map Super-Resolution Using Deep Neural Network |
ISMA |
L |
-- |
| Co-occurrent Structural Edge Detection for Color-Guided Depth Map Super-Resolution |
ICMM |
P |
-- |
| Depth image super-resolution algorithm based on structural features and non-local means |
OL |
P |
-- |
| Single-Shot Variational Depth Super-Resolution From Shading |
CVPR |
L |
Github |
| Joint-Feature Guided Depth Map Super-Resolution With Face Priors |
TYCB |
L |
-- |
| Explicit Edge Inconsistency Evaluation Model for Color-guided Depth Map Enhancement |
TCSVT |
P |
-- |
| Minimum spanning forest with embedded edge inconsistency measurement model for guided depth map enhancement |
TIP |
P |
-- |
| Depth image super-resolution reconstruction based on a modified joint trilateral filter |
ISMA |
F |
-- |
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