% Key papers for Snapshot hyperspectral imaging (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages. @inproceedings{cvpr2020_plug_16038, title = {{Plug-and-Play Algorithms for Large-Scale Snapshot Compressive Imaging}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2020}, } @inproceedings{cvpr2017_what_12760, title = {{What Is the Space of Attenuation Coefficients in Underwater Computer Vision?}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2017}, } @inproceedings{cvpr2021_deep_16817, title = {{Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2021}, } @inproceedings{cvpr2018_deeply_12991, title = {{Deeply Learned Filter Response Functions for Hyperspectral Reconstruction}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2018}, url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Nie_Deeply_Learned_Filter_CVPR_2018_paper.html}, } @inproceedings{cvpr2016_do_11507, title = {{Do It Yourself Hyperspectral Imaging With Everyday Digital Cameras}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2016}, } @inproceedings{cvpr2023_residual_22040, title = {{Residual Degradation Learning Unfolding Framework With Mixing Priors Across Spectral and Spatial for Compressive Spectral Imaging}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2023}, url = {https://cvpr.thecvf.com/virtual/2023/poster/21489}, } @inproceedings{cvpr2021_learning_17305, title = {{Learning Tensor Low-Rank Prior for Hyperspectral Image Reconstruction}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2021}, } @inproceedings{aaai2020_cascading_103859, title = {{Cascading Convolutional Color Constancy}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2020}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/6966}, } @inproceedings{cvpr2020_a_15071, title = {{A Multi-Hypothesis Approach to Color Constancy}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2020}, } @inproceedings{cvpr2018_improving_13217, title = {{Improving Color Reproduction Accuracy on Cameras}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2018}, url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Karaimer_Improving_Color_Reproduction_CVPR_2018_paper.html}, } @inproceedings{cvpr2017_snapshot_12645, title = {{Snapshot Hyperspectral Light Field Imaging}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2017}, } @inproceedings{cvpr2022_degree_18638, title = {{Degree-of-Linear-Polarization-Based Color Constancy}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2022}, } @inproceedings{cvpr2019_dichromatic_14083, title = {{Dichromatic Model Based Temporal Color Constancy for AC Light Sources}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2019}, } @inproceedings{aaai2022_transfer_2881, title = {{Transfer Learning for Color Constancy via Statistic Perspective}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2022}, url = {https://aaai.org/papers/02361-transfer-learning-for-color-constancy-via-statistic-perspective/}, } @inproceedings{cvpr2016_simultaneous_11862, title = {{Simultaneous Estimation of Near IR BRDF and Fine-Scale Surface Geometry}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2016}, } @inproceedings{cvpr2022_learning_19241, title = {{Learning sRGB-to-Raw-RGB De-Rendering With Content-Aware Metadata}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2022}, } @inproceedings{cvpr2023_learning_21422, title = {{Learning a Deep Color Difference Metric for Photographic Images}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2023}, url = {https://cvpr.thecvf.com/virtual/2023/poster/20951}, } @inproceedings{cvpr2024_dispersed_23232, title = {{Dispersed Structured Light for Hyperspectral 3D Imaging}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/30490}, } @inproceedings{cvpr2024_in2set_23791, title = {{In2SET: Intra-Inter Similarity Exploiting Transformer for Dual-Camera Compressive Hyperspectral Imaging}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/30425}, } @inproceedings{cvpr2024_attentive_22793, title = {{Attentive Illumination Decomposition Model for Multi-Illuminant White Balancing}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/29455}, } @inproceedings{cvpr2025_active_25427, title = {{Active Hyperspectral Imaging Using an Event Camera}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/34875}, } @inproceedings{aaai2025_fmpm_9112, title = {{FMPM-DNet: Hyperspectral Pansharpening Dynamic Network Based on Feature Modulation and Probability Mask}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/32070}, } @inproceedings{cvpr2024_reconstruction_24601, title = {{Reconstruction-free Cascaded Adaptive Compressive Sensing}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/30825}, } @inproceedings{cvpr2025_dense_25893, title = {{Dense Dispersed Structured Light for Hyperspectral 3D Imaging of Dynamic Scenes}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/32788}, } @inproceedings{cvpr2026_spectrum_97614, title = {{Spectrum from Defocus: Fast Spectral Imaging with Chromatic Focal Stack}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2026}, url = {https://openaccess.thecvf.com/content/CVPR2026/html/Aydin_Spectrum_from_Defocus_Fast_Spectral_Imaging_with_Chromatic_Focal_Stack_CVPR_2026_paper.html}, } @inproceedings{aaai2025_efficient_8913, title = {{Efficient Neural Network Encoding for 3D Color Lookup Tables}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/33059}, } @inproceedings{neurips2025_spectral_80220, title = {{Spectral Compressive Imaging via Chromaticity-Intensity Decomposition}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=xQfZprbSWL}, } @inproceedings{cvpr2026_leveraging_96135, title = {{Leveraging Multispectral Sensors for Color Correction in Mobile Cameras}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2026}, url = {https://openaccess.thecvf.com/content/CVPR2026/html/Cogo_Leveraging_Multispectral_Sensors_for_Color_Correction_in_Mobile_Cameras_CVPR_2026_paper.html}, } @inproceedings{cvpr2026_metaspectra_99398, title = {{MetaSpectra+: A Compact Broadband Metasurface Camera for Snapshot Hyperspectral+ Imaging}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2026}, url = {https://openaccess.thecvf.com/content/CVPR2026/html/Liu_MetaSpectra_A_Compact_Broadband_Metasurface_Camera_for_Snapshot_Hyperspectral_Imaging_CVPR_2026_paper.html}, } @inproceedings{icml2026_phy_49225, title = {{Phy-CoSF: Physics-Guided Continuous Spectral Fields Reconstruction and Spectral Super-Resolution for Snapshot Compressive Imaging}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2026}, url = {https://openreview.net/forum?id=0OpwiqWPQJ}, }