Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery | Paper Citation Record

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This paper cites Loam: Lidar odometry and mapping in real-time.

Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery Loam: Lidar odometry and mapping in real-time

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:06:31.348547Z

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Observation 5e0d2ef0-4ece-47e9-925a-057802535d99 · outbound

This paper cites Low-drift and real-time lidar odometry and mapping.

Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery Low-drift and real-time lidar odometry and mapping

Reference 2

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Observation 8b2352dd-576f-4f08-a104-90c0bbafbc6e · outbound

This paper cites Autonomous navigation system of greenhouse mobile robot based on 3d lidar and 2d lidar slam.

Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery Autonomous navigation system of greenhouse mobile robot based on 3d lidar and 2d lidar slam

Reference 3

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Observation 0e87a905-cd06-4069-a867-645904a1e6e7 · outbound

This paper cites A benchmark for multi-modal lidar slam with ground truth in gnss-denied environments.

Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery A benchmark for multi-modal lidar slam with ground truth in gnss-denied environments

Reference 4

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Observation ae425d33-3e21-4062-b98d-d0d2896a0e0f · outbound

This paper cites Coin-lio: Complementary intensity- augmented lidar inertial odometry.

Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery Coin-lio: Complementary intensity- augmented lidar inertial odometry

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:06:31.301029Z

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Observation b87ada2e-662b-4c88-9e4b-21d0aa49cde8 · outbound

This paper cites LiDAR-as-Camera for End-to-End Driving.

Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery LiDAR-as-Camera for End-to-End Driving

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-16T04:06:30.884812Z

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Observation 6da6fc04-8526-4f1e-b28b-2ddb50e9f621 · outbound

This paper cites Lidar as a camera – digital lidar’s implications for computer vision.

Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery Lidar as a camera – digital lidar’s implications for computer vision

Reference 7

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Observation 57fdf591-ae66-45bc-90b5-867e5cc17002 · outbound

This paper cites Analyzing General-Purpose Deep-Learning Detection and Segmentation Models with Images from a Lidar as a Camera Sensor.

Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery Analyzing General-Purpose Deep-Learning Detection and Segmentation Models with Images from a Lidar as a Camera Sensor

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-16T04:06:30.868891Z

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Observation 448cf42c-e962-4ee9-9403-77188722937f · outbound

This paper cites General-purpose deep learning detection and segmentation models for images from a lidar-based camera sensor.

Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery General-purpose deep learning detection and segmentation models for images from a lidar-based camera sensor

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:06:31.276911Z

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Observation a801b312-17b0-4384-a18c-a0253ed74cf8 · outbound

This paper cites R-liom: Reflectivity-aware lidar-inertial odometry and mapping.

Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery R-liom: Reflectivity-aware lidar-inertial odometry and mapping

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:06:31.265315Z

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Observation 0d62ad0a-5a94-4323-a6fc-39e83aaf8c1b · outbound

This paper cites Lidar- generated images derived keypoints assisted point cloud registration scheme in odometry estimation.

Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery Lidar- generated images derived keypoints assisted point cloud registration scheme in odometry estimation

Reference 11

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Observation 04f58864-6940-4821-82df-0d71f97da6a1 · outbound

This paper cites Analysis of Deep Learning-Based Colorization and Super-Resolution Techniques for Lidar Imagery.

Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery Analysis of Deep Learning-Based Colorization and Super-Resolution Techniques for Lidar Imagery

Reference 12

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Observation d5f3dde8-8381-4357-a592-e283750865ba · outbound

This paper cites Kiss-icp: In defense of point-to-point icp–simple, accurate, and robust registration if done the right way.

Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery Kiss-icp: In defense of point-to-point icp–simple, accurate, and robust registration if done the right way

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:06:31.242328Z

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Observation e7bc9cba-e750-4e50-b8e1-7a77a4d124da · outbound

This paper cites Fast-lio: A fast, robust lidar-inertial odometry package by tightly-coupled iterated kalman filter.

Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery Fast-lio: A fast, robust lidar-inertial odometry package by tightly-coupled iterated kalman filter

Reference 14

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Observation d41c83b5-a9ab-435c-9812-d5e90ba03052 · outbound

This paper cites Tightly coupled 3d lidar inertial odometry and mapping.

Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery Tightly coupled 3d lidar inertial odometry and mapping

Reference 15

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Observation c0925e5e-a7d4-485f-87f3-84d7f83da0fc · outbound

This paper cites F-loam: Fast lidar odometry and mapping.

Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery F-loam: Fast lidar odometry and mapping

Reference 16

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Observation 5d293b08-8c8d-42fd-92b1-8b81f07c51f0 · outbound

This paper cites The farthest point strategy for progressive image sampling.

Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery The farthest point strategy for progressive image sampling

Reference 17

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Observation 87fe17b6-cb7a-4bdd-9ddd-7eefbb241629 · outbound

This paper cites Deep hierarchical feature learning on point sets in a metric space.

Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery Deep hierarchical feature learning on point sets in a metric space

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:06:31.188247Z

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Observation 74ab7b2a-edc0-4faa-98e1-88644d9035ba · outbound

This paper cites Learning to sample.

Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery Learning to sample

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:06:31.177119Z

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Observation d3560cc6-1d62-4741-b048-284b3ef48429 · outbound

This paper cites Pst- net: Point cloud sampling via point-based transformer.

Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery Pst- net: Point cloud sampling via point-based transformer

Reference 20

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Observation ab73bf63-8a7d-4b33-8df0-4536725a5e37 · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation.

Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery Pointnet: Deep learning on point sets for 3d classification and segmentation

Reference 21

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Observation 134b815f-5d23-4461-9d1d-2d521122e7a3 · outbound

This paper cites So-net: Self-organizing network for point cloud analysis.

Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery So-net: Self-organizing network for point cloud analysis

Reference 22

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Observation 08031f5e-e0f7-4c3f-b287-b1c7c8fb1706 · outbound

This paper cites Deep hough voting for 3d object detection in point clouds.

Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery Deep hough voting for 3d object detection in point clouds

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:06:31.134995Z

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Observation b94d0498-3524-4b58-b04a-e868080316f0 · outbound

This paper cites Distinctive image features from scale-invariant key- points.

Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery Distinctive image features from scale-invariant key- points

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:06:31.124680Z

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Observation 8f454cfe-69b9-4d40-857d-705a313c412c · outbound

This paper cites Surf: Speeded up robust features.

Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery Surf: Speeded up robust features

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:06:31.113717Z

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Observation b0ace1b6-6c7f-4780-b0b7-1505d5f2ee77 · outbound

This paper cites Machine learning for high- speed corner detection.

Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery Machine learning for high- speed corner detection

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:06:31.102747Z

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Observation 503964be-9e4f-409d-964b-b8a39554fc30 · outbound

This paper cites Brief: Binary robust independent elementary features.

Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery Brief: Binary robust independent elementary features

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:06:31.091626Z

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Observation 3a0e3ac5-55fa-460e-9636-cad8c24a900b · outbound

This paper cites Orb: An efficient alternative to sift or surf.

Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery Orb: An efficient alternative to sift or surf

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:06:31.080824Z

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Observation 371325b9-d555-4098-a9b6-b6717927f12f · outbound

This paper cites Super- point: Self-supervised interest point detection and description, 2018.

Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery Super- point: Self-supervised interest point detection and description, 2018

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:06:31.069592Z

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This paper cites an unresolved cited work.

Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:06:31.058382Z

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Observation aedf6582-1be0-4631-8617-5b890e8ef55c · outbound

This paper cites Deoldify–a deep learning based project for colorizing and restoring old images (and video!), 2019.

Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery Deoldify–a deep learning based project for colorizing and restoring old images (and video!), 2019

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:06:31.047136Z

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Observation 25dd6880-0f83-4b15-b78d-d50ee2c0f700 · outbound

This paper cites Thermal infrared image colorization for nighttime driving scenes with top-down guided attention.

Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery Thermal infrared image colorization for nighttime driving scenes with top-down guided attention

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:06:31.034814Z

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Observation 13309460-af80-44b5-9ba9-1dc8a12ccff2 · outbound

This paper cites Chromagan: Adver- sarial picture colorization with semantic class distribution.

Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery Chromagan: Adver- sarial picture colorization with semantic class distribution

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:06:31.022939Z

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Observation 28428a31-47c5-443f-af4d-5acb1cb4213d · outbound

This paper cites Ddcolor: Towards photo-realistic image colorization via dual decoders.

Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery Ddcolor: Towards photo-realistic image colorization via dual decoders

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:06:31.011427Z

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Observation bf2d9e30-6bcd-4fce-aa97-75d40fb627f3 · outbound

This paper cites Disentangled image colorization via global anchors.

Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery Disentangled image colorization via global anchors

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:06:30.999274Z

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Observation fe81c067-1fd6-436e-9f25-ac3c1fab5e30 · outbound

This paper cites Instance-aware image colorization.

Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery Instance-aware image colorization

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:06:30.986521Z

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Observation eefeeb29-b5b2-4147-9a30-a8b0dd423587 · outbound

This paper cites Colorful image colorization.

Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery Colorful image colorization

Reference 37

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Observation ec40ef57-a141-4fed-a046-331af49b3ac4 · outbound

This paper cites I2v-gan: Unpaired infrared-to-visible video translation.

Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery I2v-gan: Unpaired infrared-to-visible video translation

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:06:30.968443Z

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Observation 0fadac18-1aa0-49de-b82a-bc97c7b6781d · outbound

This paper cites Image super-resolution using deep convolutional networks.

Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery Image super-resolution using deep convolutional networks

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-16T04:06:30.768225Z

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Observation a4489c1e-e080-4b26-95d7-b8cfbe844dd6 · outbound

This paper cites Accurate image super-resolution using very deep convolutional networks.

Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery Accurate image super-resolution using very deep convolutional networks

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:06:30.949299Z

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Observation dfe3354c-db23-4d99-b9af-8087db12afcb · outbound

This paper cites Photo-realistic single image super- resolution using a generative adversarial network.

Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery Photo-realistic single image super- resolution using a generative adversarial network

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:06:30.938386Z

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Observation e61eb559-04a5-4a8a-999f-23b5067bb5bd · outbound

This paper cites Esrgan: Enhanced super-resolution generative adversarial networks.

Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery Esrgan: Enhanced super-resolution generative adversarial networks

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:06:30.927410Z

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Observation e0580e05-ccf0-449c-bec9-0c6988809b42 · outbound

This paper cites SwinIR: Image Restoration Using Swin Transformer.

Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery SwinIR: Image Restoration Using Swin Transformer

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-16T04:06:30.782456Z

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Observation b819eef8-5b04-4b98-b511-bc6d88ee1c07 · outbound

This paper cites Cross aggregation transformer for image restoration.

Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery Cross aggregation transformer for image restoration

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:06:30.914988Z

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Observation d201140f-88ef-4c1e-a41b-1bef702b73ce · outbound

This paper cites Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network.

Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-08-16T04:06:30.832700Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a83536ad-6929-4089-a561-f1e9dc6d5db3 · outbound

This paper cites Multi-modal lidar dataset for benchmarking general-purpose localization and mapping algorithms.

Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery Multi-modal lidar dataset for benchmarking general-purpose localization and mapping algorithms

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:06:30.903731Z

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Observation 64d04e0a-53f7-4bcf-bf4d-9a669d57badd · outbound

This paper cites Faster-lio: Lightweight tightly coupled lidar-inertial odometry using parallel sparse incremental voxels.

Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery Faster-lio: Lightweight tightly coupled lidar-inertial odometry using parallel sparse incremental voxels

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-16T04:06:30.796891Z

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