LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs | Paper Citation Record

Observation d1bf755e-76c4-4499-b735-790daca98fa3 · outbound

This paper cites GzScenic: Automatic Scene Generation for Gazebo Simulator.

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs GzScenic: Automatic Scene Generation for Gazebo Simulator

Reference 1

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Observation 47d3dc5a-9ed5-4ea5-89c3-413ae4b43e6f · outbound

This paper cites Vista 2.0: An open, data-driven simulator for multimodal sensing and policy learning for autonomous vehicles.

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs Vista 2.0: An open, data-driven simulator for multimodal sensing and policy learning for autonomous vehicles

Reference 2

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Observation e763f8e3-5906-4383-a489-63217682b6f1 · outbound

This paper cites Se- mantickitti: A dataset for semantic scene understanding of lidar sequences.

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs Se- mantickitti: A dataset for semantic scene understanding of lidar sequences

Reference 3

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Observation bde239c8-f8c3-48e7-a0d0-afb7f8199ef6 · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T14:33:54.327649Z

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Observation 661705ef-4d40-4d27-a463-68fca05967b4 · outbound

This paper cites Efficient online seg- mentation for sparse 3d laser scans.PFG–Journal of Pho- togrammetry, Remote Sensing and Geoinformation Science, 85:41–52, 2017.

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs Efficient online seg- mentation for sparse 3d laser scans.PFG–Journal of Pho- togrammetry, Remote Sensing and Geoinformation Science, 85:41–52, 2017

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T14:33:54.402926Z

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Observation 3343737d-ca64-4a03-ad3e-19389c12b559 · outbound

This paper cites Brown, Benjamin Mann, Nick Ryder, Melanie Sub- biah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al.

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs Brown, Benjamin Mann, Nick Ryder, Melanie Sub- biah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T14:33:54.467660Z

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Observation 3c258b79-2c03-488f-930f-1757b9f9dcbc · outbound

This paper cites Deep generative modeling of lidar data.

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs Deep generative modeling of lidar data

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T14:33:54.528800Z

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Observation 54df1a54-8dd6-40c5-aef7-f06ab6ae0a76 · outbound

This paper cites nuscenes: A mul- timodal dataset for autonomous driving.

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs nuscenes: A mul- timodal dataset for autonomous driving

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T14:33:54.609093Z

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Observation 43e4da29-12ab-490f-8536-761447d8e7aa · outbound

This paper cites an unresolved cited work.

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs Unresolved cited work

Reference 9

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Observation 43af85f3-c088-4028-87b1-8d1524c07536 · outbound

This paper cites Part-aware data augmentation for 3d object detection in point cloud.

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs Part-aware data augmentation for 3d object detection in point cloud

Reference 10

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Observation d5b13ba1-bbe0-44e1-a856-bd16789af0f3 · outbound

This paper cites Understanding of blender software.Models and methods in modern science, 2(13):40–45, 2023.

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs Understanding of blender software.Models and methods in modern science, 2(13):40–45, 2023

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T14:33:54.736637Z

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Observation 103ef51e-e7ea-4045-a13f-6b13969f3504 · outbound

This paper cites Carla: An open urban driv- ing simulator.

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs Carla: An open urban driv- ing simulator

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T14:33:54.845485Z

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Observation 5f2cc27e-163c-41c4-acfb-3f4c76d7e1bc · outbound

This paper cites Generative adversarial nets.Advances in neural information processing systems, 27, 2014.

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs Generative adversarial nets.Advances in neural information processing systems, 27, 2014

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T14:33:54.907985Z

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Observation 15440754-6fee-4482-a6a7-f8f4492652d4 · outbound

This paper cites Lidar snowfall simulation for robust 3d object detection.

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs Lidar snowfall simulation for robust 3d object detection

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T14:33:54.994039Z

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Observation b90dea9b-594d-4e94-b07f-98c112621ecd · outbound

This paper cites Classifier-Free Diffusion Guidance.

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs Classifier-Free Diffusion Guidance

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T14:33:55.073164Z

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Observation 2dc23d2c-02e9-47ad-b15f-7d0955b6c402 · outbound

This paper cites Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T14:33:55.144086Z

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Observation 5ad50da5-796e-4f68-bb0a-c10e499ed313 · outbound

This paper cites Imagen Video: High Definition Video Generation with Diffusion Models.

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs Imagen Video: High Definition Video Generation with Diffusion Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T14:33:55.194185Z

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Observation a8e93b2e-b8d1-4b6c-b760-f499e7f08c6b · outbound

This paper cites Context-aware data augmentation for lidar 3d object detection.

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs Context-aware data augmentation for lidar 3d object detection

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T14:33:55.233108Z

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Observation 9ec023eb-13a5-4185-bed7-b05a419416d5 · outbound

This paper cites Neural lidar fields for novel view synthesis.

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs Neural lidar fields for novel view synthesis

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T14:33:55.264371Z

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Observation 8ef78bf7-a445-4c52-b552-a44d63aa1c6e · outbound

This paper cites Auto-Encoding Variational Bayes.

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs Auto-Encoding Variational Bayes

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T14:33:55.281626Z

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Observation e13b0d5b-9405-43c1-b877-527b9a83ff95 · outbound

This paper cites Berg, Wan-Yen Lo, Piotr Dollar, and Ross Girshick.

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs Berg, Wan-Yen Lo, Piotr Dollar, and Ross Girshick

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T14:33:55.320262Z

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Observation 2693fa4d-368a-4f55-9dc5-3660f2bc7559 · outbound

This paper cites Kitti-360: A novel dataset and benchmarks for urban scene understanding in 2d and 3d.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(3):3292–3310, 2022.

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs Kitti-360: A novel dataset and benchmarks for urban scene understanding in 2d and 3d.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(3):3292–3310, 2022

Reference 22

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Observation 3fbb3186-450d-4b2c-8f82-b84399825ff9 · outbound

This paper cites A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion.

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T14:33:55.370034Z

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Observation a70f4100-8410-4f24-98ac-99e3252dec2c · outbound

This paper cites Robot operating system 2: Design, architecture, and uses in the wild.Science robotics, 7(66):eabm6074, 2022.

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs Robot operating system 2: Design, architecture, and uses in the wild.Science robotics, 7(66):eabm6074, 2022

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T14:33:55.414952Z

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Observation 91e42697-5e69-456c-bc5a-bae3bd313af6 · outbound

This paper cites Lidarsim: Realistic lidar simulation by leveraging the real world.

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs Lidarsim: Realistic lidar simulation by leveraging the real world

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T14:33:55.457359Z

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Observation 66d76463-b631-41db-91e9-6d6016437fdf · outbound

This paper cites SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations.

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T14:33:55.513014Z

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Observation a2714c32-9c09-4e70-83a3-26265740a903 · outbound

This paper cites Rangenet++: Fast and accurate lidar semantic segmentation.

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs Rangenet++: Fast and accurate lidar semantic segmentation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T14:33:55.601063Z

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Observation 3ec259fb-2e29-4627-a2b3-cf083953ea54 · outbound

This paper cites LiDAR Data Synthesis with Denoising Diffusion Probabilistic Models.

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs LiDAR Data Synthesis with Denoising Diffusion Probabilistic Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T14:33:55.690677Z

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Observation 228a2eab-b0de-4b37-9987-9f793dde9829 · outbound

This paper cites Generative range imaging for learning scene priors of 3d li- dar data.

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs Generative range imaging for learning scene priors of 3d li- dar data

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T14:33:55.753298Z

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Observation 3c1a3b1a-3319-46ee-a1ad-4c8f88f5ec15 · outbound

This paper cites Gpt-5 technical report.https://openai.com,.

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs Gpt-5 technical report.https://openai.com,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-03T14:33:55.808434Z

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Observation daae846c-54d8-4f47-a5d1-62b6a7273572 · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-03T14:33:56.027547Z

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Observation ad2d1a8f-e694-4086-9ad9-7b707f31e811 · outbound

This paper cites Towards realistic scene generation with lidar diffusion models.

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs Towards realistic scene generation with lidar diffusion models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-03T14:33:56.147315Z

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Observation b5206238-6085-4216-bf37-459cd1b0704d · outbound

This paper cites lhigh-resolution image synthesis with latent diffusion modelsl.

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs lhigh-resolution image synthesis with latent diffusion modelsl

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-03T14:33:56.163886Z

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Observation 28572dfc-cfc4-4f2e-a5ad-659a9397fb49 · outbound

This paper cites Projected gans converge faster.Advances in Neural Information Processing Systems, 34:17480–17492, 2021.

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs Projected gans converge faster.Advances in Neural Information Processing Systems, 34:17480–17492, 2021

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-03T14:33:56.200818Z

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Observation 766674e5-048f-47dc-b79a-a63d43d1b425 · outbound

This paper cites Airsim: High-fidelity visual and physical simulation for autonomous vehicles.

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs Airsim: High-fidelity visual and physical simulation for autonomous vehicles

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-03T14:33:56.219762Z

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Observation 6aedcef2-962a-4eff-9e23-e998832ad9a6 · outbound

This paper cites Generative modeling by esti- mating gradients of the data distribution.Advances in neural information processing systems, 32, 2019.

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs Generative modeling by esti- mating gradients of the data distribution.Advances in neural information processing systems, 32, 2019

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-03T14:33:56.245731Z

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Observation ebf6bec5-f9f4-401d-948a-ef8dfc50701a · outbound

This paper cites Improved techniques for training score-based generative models.Advances in neural information processing systems, 33:12438–12448, 2020.

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs Improved techniques for training score-based generative models.Advances in neural information processing systems, 33:12438–12448, 2020

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-03T14:33:56.292772Z

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Observation 5a2e67ba-4eda-44dd-b919-034c15ff1195 · outbound

This paper cites LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields.

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-03T14:33:56.317375Z

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Observation 60266507-661d-4995-8321-363d1434ca09 · outbound

This paper cites Lion: Latent point dif- fusion models for 3d shape generation.Advances in Neural Information Processing Systems, 35:10021–10039, 2022.

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs Lion: Latent point dif- fusion models for 3d shape generation.Advances in Neural Information Processing Systems, 35:10021–10039, 2022

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-03T14:33:56.357346Z

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Observation 33a58f1e-8e97-48cd-9646-1bd133f40790 · outbound

This paper cites Neural discrete representation learning.Advances in neural information pro- cessing systems, 30, 2017.

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs Neural discrete representation learning.Advances in neural information pro- cessing systems, 30, 2017

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-03T14:33:56.383381Z

Source-reported events for the cited work

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Observation 78bb4ad7-e602-4419-87cb-dc451cdbf533 · outbound

This paper cites Learn- ing interactive driving policies via data-driven simulation.

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs Learn- ing interactive driving policies via data-driven simulation

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-03T14:33:56.441258Z

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Observation eaa79e6c-e31e-45c6-be65-deb3da802293 · outbound

This paper cites Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distilla- tion.Advances in Neural Information Processing Systems, 36, 2024.

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distilla- tion.Advances in Neural Information Processing Systems, 36, 2024

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-03T14:33:56.502731Z

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Observation db17c190-01f3-4ef1-9a41-c1a1f57cea12 · outbound

This paper cites Text2LiDAR: Text-guided LiDAR Point Cloud Generation via Equirectangular Transformer.

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs Text2LiDAR: Text-guided LiDAR Point Cloud Generation via Equirectangular Transformer

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-03T14:33:56.550253Z

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Observation 423672cd-2c93-41ae-bffa-6c9cfe342bf8 · outbound

This paper cites OmniGen: Unified Image Generation.

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs OmniGen: Unified Image Generation

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-03T14:33:56.619269Z

Source-reported events for the cited work

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Observation 8817d1ef-250a-499a-b74f-929c9c2516fd · outbound

This paper cites Learning compact representations for lidar com- pletion and generation.

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs Learning compact representations for lidar com- pletion and generation

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-03T14:33:56.696288Z

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Observation 2f7e4346-dd1c-4238-8514-4ab5b5d159b1 · outbound

This paper cites GeoNLF: Geometry guided Pose-Free Neural LiDAR Fields.

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs GeoNLF: Geometry guided Pose-Free Neural LiDAR Fields

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-03T14:33:56.759050Z

Source-reported events for the cited work

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Observation 59b4ea63-efe8-42ad-bb8e-21870a83dfae · outbound

This paper cites Depth anything: Unleashing the power of large-scale unlabeled data.

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs Depth anything: Unleashing the power of large-scale unlabeled data

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-03T14:33:56.819014Z

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Observation 5039218b-50b2-4828-97d0-6704b341ed59 · outbound

This paper cites Routledge,.

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs Routledge,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-03T14:33:56.854490Z

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Observation a19c038f-66ae-4255-8900-3970d563c714 · outbound

This paper cites Gaussiandreamer: Fast generation from text to 3d gaussians by bridging 2d and 3d diffusion models.

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs Gaussiandreamer: Fast generation from text to 3d gaussians by bridging 2d and 3d diffusion models

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-03T14:33:56.912871Z

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Observation 3c41fca8-bae5-47d6-82cb-6e4b2a930072 · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs Adding conditional control to text-to-image diffusion models

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-03T14:33:57.048984Z

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Observation f40611bd-8110-45b3-9cc0-8e357f2b0ed3 · outbound

This paper cites Lidar4d: Dynamic neural fields for novel space-time view lidar synthesis.

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs Lidar4d: Dynamic neural fields for novel space-time view lidar synthesis

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-03T14:33:57.134393Z

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Observation c86931c8-7686-4a67-a73e-9b988027800d · outbound

This paper cites Learning to generate realistic lidar point clouds.

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs Learning to generate realistic lidar point clouds

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-03T14:33:57.223580Z

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Observation 3434343c-7c02-4940-be9c-7c8c2e4cab4e · outbound

This paper cites Lidardm: Generative lidar simulation in a generated world.

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs Lidardm: Generative lidar simulation in a generated world

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-03T14:33:57.296757Z

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Observation 956012a6-254f-4230-8014-9d34a55aa978 · outbound

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LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs Unresolved cited work

Reference 2024

Resolution: parse uncertain; no resolver link, observed 2026-08-03T14:33:55.872508Z

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