A Cookbook of 3D Vision: Data, Learning Paradigms, and Application | Paper Citation Record

Observation 301447fd-672a-4f5d-b758-8814394cec33 · outbound

This paper cites Pointnetlk: Robust & efficient point cloud registration using pointnet.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Pointnetlk: Robust & efficient point cloud registration using pointnet

Reference 1

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Observation a48d9d57-27df-4e19-8bfb-4c97f3537d07 · outbound

This paper cites Navigation world models, 2025.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Navigation world models, 2025

Reference 2

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Observation 06d07f4b-8486-4ab0-a604-6f50d48ba53c · outbound

This paper cites A dataset for semantic scene understanding of lidar sequences.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application A dataset for semantic scene understanding of lidar sequences

Reference 3

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Observation 08e9b75d-c400-4e15-8d22-4f2b8a0f3482 · outbound

This paper cites Virtual kitti 2, 2020.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Virtual kitti 2, 2020

Reference 4

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Observation baba8ceb-5759-4988-b70b-59a00e9fc93c · outbound

This paper cites Monoscene: Monocular 3d semantic scene completion, 2022.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Monoscene: Monocular 3d semantic scene completion, 2022

Reference 5

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Observation ec4cedd5-9276-4b50-915a-428ea23fc952 · outbound

This paper cites Matterport3d: Learning from rgb-d data in indoor environments, 2017.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Matterport3d: Learning from rgb-d data in indoor environments, 2017

Reference 6

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Observation 8d75581e-1b46-47ce-85dc-30ee8985ad44 · outbound

This paper cites Chang, Thomas Funkhouser, Leonidas Guibas, Pat Hanrahan, Qixing Huang, Zimo Li, Silvio Savarese, Manolis Savva, Shuran Song, Hao Su, Jianxiong Xiao, Li Yi, and Fisher Yu.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Chang, Thomas Funkhouser, Leonidas Guibas, Pat Hanrahan, Qixing Huang, Zimo Li, Silvio Savarese, Manolis Savva, Shuran Song, Hao Su, Jianxiong Xiao, Li Yi, and Fisher Yu

Reference 7

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Observation 1d647b38-4c47-49bc-8ec0-0996e7631115 · outbound

This paper cites Tensorf: Tensorial radiance fields.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Tensorf: Tensorial radiance fields

Reference 8

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Observation 945df162-b2f5-44d2-a95c-3a2f4215717f · outbound

This paper cites A survey on 3d gaussian splatting, 2025.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application A survey on 3d gaussian splatting, 2025

Reference 9

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Observation e2c5d413-ee78-4808-9bf4-48dba6c102ec · outbound

This paper cites SAM 3D: 3Dfy Anything in Images.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application SAM 3D: 3Dfy Anything in Images

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-07-02T03:16:33.499145Z

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Observation a5eb4b19-70b6-438b-8a9c-eb646a80310a · outbound

This paper cites Parametric 20000.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Parametric 20000

Reference 11

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Observation 5bf4a153-7522-4c81-97a4-aa765a757fb2 · outbound

This paper cites Robust reconstruction of indoor scenes.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Robust reconstruction of indoor scenes

Reference 12

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Observation 63b6679f-65e5-4f13-bff0-a0ec625c45a0 · outbound

This paper cites A Large Dataset of Object Scans.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application A Large Dataset of Object Scans

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-07-02T03:16:33.510126Z

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Observation b382d0c2-81c6-4436-be93-9b46ee751622 · outbound

This paper cites 4d spatio-temporal convnets: Minkowski convolutional neural networks.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application 4d spatio-temporal convnets: Minkowski convolutional neural networks

Reference 14

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Observation 61402f8b-a57e-479f-bf84-8ff742fd790d · outbound

This paper cites Choy, Danfei Xu, JunYoung Gwak, Kevin Chen, and Silvio Savarese.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Choy, Danfei Xu, JunYoung Gwak, Kevin Chen, and Silvio Savarese

Reference 15

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Observation 79e4897a-9b08-4e70-b63d-8ac15356e7a2 · outbound

This paper cites 3d u-net: Learning dense volumetric segmentation from sparse annotation.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application 3d u-net: Learning dense volumetric segmentation from sparse annotation

Reference 16

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Observation 03e3227b-67e5-4072-87c5-efb887adee21 · outbound

This paper cites Abo: Dataset and benchmarks for real-world 3d object understanding.CVPR, 2022.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Abo: Dataset and benchmarks for real-world 3d object understanding.CVPR, 2022

Reference 17

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Observation feadca92-3cd6-4e5e-a9b0-be3de036def7 · outbound

This paper cites an unresolved cited work.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Unresolved cited work

Reference 18

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Observation 127fa7db-5ac1-4061-a66e-223977f0d0b9 · outbound

This paper cites Scannet: Richly-annotated 3d reconstructions of indoor scenes.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Scannet: Richly-annotated 3d reconstructions of indoor scenes

Reference 19

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Observation 8f59e07a-5d13-46ec-b4bd-0128d6d1802a · outbound

This paper cites Bundlefusion: Real- time globally consistent 3d reconstruction using on-the-fly surface reintegration.ACM Transactions on Graphics (TOG), 36(4):1–18, 2017.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Bundlefusion: Real- time globally consistent 3d reconstruction using on-the-fly surface reintegration.ACM Transactions on Graphics (TOG), 36(4):1–18, 2017

Reference 20

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Observation f7a8b9d1-60db-4773-b6e5-722c2197c644 · outbound

This paper cites Scancomplete: Large-scale scene completion and semantic segmentation for 3d scans.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Scancomplete: Large-scale scene completion and semantic segmentation for 3d scans

Reference 21

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Observation 8285eeb4-b179-4e7d-a825-0c842c0cfa52 · outbound

This paper cites Brepformer: Transformer-based b-rep geometric feature recognition.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Brepformer: Transformer-based b-rep geometric feature recognition

Reference 22

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Observation c1dc88ad-9b06-4e5c-8043-c9d28cbd8790 · outbound

This paper cites Springer, New York, revised 2001 edition, 1978.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Springer, New York, revised 2001 edition, 1978

Reference 23

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Observation a9b2bd81-77c1-47d2-9490-1181b0a429d4 · outbound

This paper cites Objaverse-XL: A Universe of 10M+ 3D Objects.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Objaverse-XL: A Universe of 10M+ 3D Objects

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-07-02T03:16:33.537620Z

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Observation 96f9f9af-dd8d-4760-9895-17af1aec995d · outbound

This paper cites Videogpa: Distilling geometry priors for 3d-consistent video generation, 2026.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Videogpa: Distilling geometry priors for 3d-consistent video generation, 2026

Reference 25

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Observation 7795179f-97e7-447a-887c-56b674f3d7fc · outbound

This paper cites The mapillary traffic sign dataset for detection and classification on a global scale, 2020.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application The mapillary traffic sign dataset for detection and classification on a global scale, 2020

Reference 26

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Observation 5fe0bfca-8a8d-4436-9dff-0b4d11887d1c · outbound

This paper cites A point set generation network for 3d object reconstruction from a single image, 2016.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application A point set generation network for 3d object reconstruction from a single image, 2016

Reference 27

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Observation ec32db66-6cb3-4870-bcbe-621ad401fac3 · outbound

This paper cites A history-based parametric cad sketch dataset with advanced engineering commands.Computer-Aided Design, 182:103848, 2025.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application A history-based parametric cad sketch dataset with advanced engineering commands.Computer-Aided Design, 182:103848, 2025

Reference 28

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Observation 0ea04d8f-4e02-4907-9a7b-f0ff9da6e7d7 · outbound

This paper cites Morgan Kaufmann, San Diego, 5 edition, 2002.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Morgan Kaufmann, San Diego, 5 edition, 2002

Reference 29

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Observation 33bb3765-ec77-4cb7-a0cd-bc5ba84ac415 · outbound

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A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Unresolved cited work

Reference 30

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Observation 5367b57b-5306-444f-8306-d185ba4a9540 · outbound

This paper cites 3d-future: 3d furniture shape with texture, 2020.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application 3d-future: 3d furniture shape with texture, 2020

Reference 31

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Observation ee4959ec-f3c8-4508-8e20-4af67c3eb0a5 · outbound

This paper cites 3d-front: 3d furnished rooms with layouts and semantics, 2021.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application 3d-front: 3d furnished rooms with layouts and semantics, 2021

Reference 32

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Observation 39e97e92-45cc-4a7f-a6f4-f660ceab69f9 · outbound

This paper cites Anyhome: Open-vocabulary generation of structured and textured 3d homes, 2024.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Anyhome: Open-vocabulary generation of structured and textured 3d homes, 2024

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This paper cites Gigahands: A massive annotated dataset of bimanual hand activities.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Gigahands: A massive annotated dataset of bimanual hand activities

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This paper cites Efros, and Xiaolong Wang.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Efros, and Xiaolong Wang

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Observation 04fe14a1-1f32-4243-8150-1bcd2ab2f2dd · outbound

This paper cites Accurate, dense, and robust multi-view stereopsis.IEEE Trans.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Accurate, dense, and robust multi-view stereopsis.IEEE Trans

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This paper cites Virtual worlds as proxy for multi-object tracking analysis, 2016.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Virtual worlds as proxy for multi-object tracking analysis, 2016

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This paper cites Nerf: Neural radiance field in 3d vision: A comprehensive review (updated post-gaussian splatting), 2025.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Nerf: Neural radiance field in 3d vision: A comprehensive review (updated post-gaussian splatting), 2025

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Observation 9f54daf6-d0a3-401d-812f-77fa0a5941a3 · outbound

This paper cites Submanifold sparse convolutional networks.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Submanifold sparse convolutional networks

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This paper cites Ego-exo4d: Understanding skilled human activity from first-and third-person perspectives.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Ego-exo4d: Understanding skilled human activity from first-and third-person perspectives

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A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Unresolved cited work

Reference 41

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Observation 95b466fd-638d-4e0a-a188-ed51bb5b2a8d · outbound

This paper cites Diffusion as shader: 3d-aware video diffusion for versatile video generation control, 2025.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Diffusion as shader: 3d-aware video diffusion for versatile video generation control, 2025

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Observation ec809303-629f-4c86-b871-a618e92a231b · outbound

This paper cites Roca: Robust cad model retrieval and alignment from a single image.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Roca: Robust cad model retrieval and alignment from a single image

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This paper cites Martin, and Shi-Min Hu.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Martin, and Shi-Min Hu

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Observation 031177db-c554-4ec5-89bb-336a11f6dc34 · outbound

This paper cites Learning rich features from rgb-d images for object detection and segmentation.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Learning rich features from rgb-d images for object detection and segmentation

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Observation e8cfe5cc-1d20-458f-b2b5-6e05d0885bcd · outbound

This paper cites Savinov, L.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Savinov, L

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Observation 641e8ebb-f4e0-4c6f-a9ad-d5fb0b986fa4 · outbound

This paper cites Dual transformer for point cloud analysis.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Dual transformer for point cloud analysis

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This paper cites Meshcnn: A network with an edge.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Meshcnn: A network with an edge

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Observation 4ad60ea1-8318-4f3a-bb80-d3c609ff9523 · outbound

This paper cites Deep learning based 3d segmentation: A survey, 2024.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Deep learning based 3d segmentation: A survey, 2024

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Observation 7068767a-3a14-4515-9f26-5cc782da8dec · outbound

This paper cites Rgb-d mapping: Using depth cameras for dense 3d modeling of indoor environments.The International Journal of Robotics Research, 31(5):647–663, 2012.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Rgb-d mapping: Using depth cameras for dense 3d modeling of indoor environments.The International Journal of Robotics Research, 31(5):647–663, 2012

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Resolution: unresolved; no resolver link, observed 2026-06-28T10:14:42.067337Z

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Observation 4e7d30a0-3d50-428e-94de-f8c901c1d213 · outbound

This paper cites Hoffmann.Geometric and Solid Modeling: An Introduction.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Hoffmann.Geometric and Solid Modeling: An Introduction

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This paper cites Pf3plat: Pose-free feed-forward 3d gaussian splatting, 2025.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Pf3plat: Pose-free feed-forward 3d gaussian splatting, 2025

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Resolution: unresolved; no resolver link, observed 2026-06-28T10:14:42.067337Z

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Observation e6c00032-87eb-47aa-b4ad-fc1b3cc00daf · outbound

This paper cites CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers

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Resolution: verified exact; local_arxiv, observed 2026-07-02T03:16:33.520128Z

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Observation db9551cd-24a4-4c50-9199-7a35516181d2 · outbound

This paper cites LRM: Large Reconstruction Model for Single Image to 3D.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application LRM: Large Reconstruction Model for Single Image to 3D

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Resolution: verified exact; local_arxiv, observed 2026-07-02T03:16:33.528580Z

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Observation 5745cae9-95b3-4590-8ff4-74e853529090 · outbound

This paper cites 3d-llm: Injecting the 3d world into large language models.Advances in Neural Information Processing Systems, 36, 2023.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application 3d-llm: Injecting the 3d world into large language models.Advances in Neural Information Processing Systems, 36, 2023

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Observation 511baaa7-342c-4c17-a863-d8d6100863e2 · outbound

This paper cites Scenenn: A scene meshes dataset with annotations.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Scenenn: A scene meshes dataset with annotations

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Resolution: unresolved; no resolver link, observed 2026-06-28T10:14:42.067337Z

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Observation 9240f148-c696-4cd4-9563-047c41f9a76c · outbound

This paper cites An embodied generalist agent in 3d world.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application An embodied generalist agent in 3d world

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Resolution: unresolved; no resolver link, observed 2026-06-28T10:14:42.067337Z

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Observation 18908d1c-e697-42b6-8cac-7e867c297e22 · outbound

This paper cites Deepmvs: Learning multi-view stereopsis.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Deepmvs: Learning multi-view stereopsis

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Resolution: unresolved; no resolver link, observed 2026-06-28T10:14:42.067337Z

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Observation d436d15f-004e-46a8-8cf2-4796d629f0d2 · outbound

This paper cites Particleformer: A 3d point cloud world model for multi-object, multi-material robotic manipulation, 2025.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Particleformer: A 3d point cloud world model for multi-object, multi-material robotic manipulation, 2025

Reference 59

Resolution: unresolved; no resolver link, observed 2026-06-28T10:14:42.067337Z

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Observation 7cfe3561-0044-4f61-8d2a-14ee8158d92a · outbound

This paper cites Pointworld: Scaling 3d world models for in-the-wild robotic manipulation, 2026.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Pointworld: Scaling 3d world models for in-the-wild robotic manipulation, 2026

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Resolution: unresolved; no resolver link, observed 2026-06-28T10:14:42.067337Z

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Observation 9ac1201f-64e5-46aa-93a0-a72fdb7af5e2 · outbound

This paper cites Kinectfusion: Real-time 3d reconstruction and interaction using a moving depth camera.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Kinectfusion: Real-time 3d reconstruction and interaction using a moving depth camera

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Resolution: unresolved; no resolver link, observed 2026-06-28T10:14:42.067337Z

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Observation 63968f9d-dad4-457a-89e1-bee6184a4d0a · outbound

This paper cites Rayzer: A self-supervised large view synthesis model, 2025.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Rayzer: A self-supervised large view synthesis model, 2025

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Resolution: unresolved; no resolver link, observed 2026-06-28T10:14:42.067337Z

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Observation 4b7c7954-e93b-41fb-b4e9-437f63cd663c · outbound

This paper cites Megasynth: Scaling up 3d scene 13 reconstruction with synthesized data.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Megasynth: Scaling up 3d scene 13 reconstruction with synthesized data

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Observation 4e09d29e-cf3f-4139-9b08-ecfac6ef5654 · outbound

This paper cites Rellis-3d dataset: Data, benchmarks and analysis, 2020.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Rellis-3d dataset: Data, benchmarks and analysis, 2020

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Resolution: unresolved; no resolver link, observed 2026-06-28T10:14:42.067337Z

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Observation ce83f580-373d-4293-b889-d3309f03e062 · outbound

This paper cites Tensoir: Tensorial inverse rendering, 2024.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Tensoir: Tensorial inverse rendering, 2024

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Resolution: unresolved; no resolver link, observed 2026-06-28T10:14:42.067337Z

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Observation c5ad0f6c-5e09-4b31-aff3-d425f1a235cf · outbound

This paper cites Neural 3d mesh renderer, 2017.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Neural 3d mesh renderer, 2017

Reference 66

Resolution: unresolved; no resolver link, observed 2026-06-28T10:14:42.067337Z

Source-reported events for the cited work

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Observation 1b825d89-f66b-4fca-be69-72077b41baaa · outbound

This paper cites Differentiable rendering: A survey, 2020.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Differentiable rendering: A survey, 2020

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Resolution: unresolved; no resolver link, observed 2026-06-28T10:14:42.067337Z

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Observation 4cc85f9b-196e-418c-b4e7-e609be88cae1 · outbound

This paper cites Screened poisson surface reconstruction.ACM Trans.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Screened poisson surface reconstruction.ACM Trans

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Observation fe7e7e45-145e-43af-9826-e9425bb4f7f4 · outbound

This paper cites Poisson surface reconstruction.Proceedings of the Fourth Eurographics Symposium on Geometry Processing, 7:61–70, 2006.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Poisson surface reconstruction.Proceedings of the Fourth Eurographics Symposium on Geometry Processing, 7:61–70, 2006

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Resolution: unresolved; no resolver link, observed 2026-06-28T10:14:42.067337Z

Source-reported events for the cited work

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Observation add533ff-9d2c-41f8-8d94-486cd546110a · outbound

This paper cites Posenet: A convolutional network for real-time 6-dof camera relocalization.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Posenet: A convolutional network for real-time 6-dof camera relocalization

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Resolution: unresolved; no resolver link, observed 2026-06-28T10:14:42.067337Z

Source-reported events for the cited work

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Observation 0d41940a-0189-4950-8acc-38f2f22ab42a · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering, 2023.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application 3d gaussian splatting for real-time radiance field rendering, 2023

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Observation c32c9453-ea64-45c5-995c-bc4aab5b0762 · outbound

This paper cites Egohumans: An egocentric 3d multi-human benchmark, 2023.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Egohumans: An egocentric 3d multi-human benchmark, 2023

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Observation 036dc16a-a5b7-445d-883c-2999a3837c3b · outbound

This paper cites Parallel tracking and mapping for small ar workspaces.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Parallel tracking and mapping for small ar workspaces

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Observation bc956d20-7c2d-48c1-868b-a2be91bad3bb · outbound

This paper cites Abc: A big cad model dataset for geometric deep learning.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Abc: A big cad model dataset for geometric deep learning

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Observation 496244cf-cb1a-4a24-834e-d0535e661ff9 · outbound

This paper cites Oneformer3d: One transformer for unified point cloud segmentation.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Oneformer3d: One transformer for unified point cloud segmentation

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Observation d11d8832-d4b4-4d9d-b823-508fd81f45af · outbound

This paper cites Epipolar geometry improves video generation models, 2025.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Epipolar geometry improves video generation models, 2025

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Resolution: unresolved; no resolver link, observed 2026-06-28T10:14:42.067337Z

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Observation 4118b8e8-cc6e-4b49-b22b-f1533d4bbe1b · outbound

This paper cites 3d vision with transformers: A survey, 2022.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application 3d vision with transformers: A survey, 2022

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Resolution: unresolved; no resolver link, observed 2026-06-28T10:14:42.067337Z

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Observation f257e9b8-01c4-4e93-9459-704910bdcba6 · outbound

This paper cites Stratified transformer for 3d point cloud segmentation.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Stratified transformer for 3d point cloud segmentation

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Resolution: unresolved; no resolver link, observed 2026-06-28T10:14:42.067337Z

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Observation 34507612-0558-4204-b4a1-29d507f2c5b4 · outbound

This paper cites Advances in 3d generation: A survey, 2024.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Advances in 3d generation: A survey, 2024

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Observation f7a6adc6-b43f-4906-a85e-f55622e05e30 · outbound

This paper cites Megadepth: Learning single-view depth prediction from internet photos.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Megadepth: Learning single-view depth prediction from internet photos

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Observation 7c3d6598-0571-4a19-bcae-74944e2a5be8 · outbound

This paper cites Pointmamba: A simple state space model for point cloud analysis, 2024.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Pointmamba: A simple state space model for point cloud analysis, 2024

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Source-reported events for the cited work

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Observation 08e876fa-0b39-4d92-a70b-e451b24c4baa · outbound

This paper cites Magic3d: High-resolution text-to-3d content creation.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Magic3d: High-resolution text-to-3d content creation

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Observation 11efcffc-f79d-496b-b7a6-5d56f2751bac · outbound

This paper cites Depth Anything 3: Recovering the Visual Space from Any Views.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Depth Anything 3: Recovering the Visual Space from Any Views

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Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T03:16:33.524238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d4472993-47e9-48fe-ad88-4ee302efbb5b · outbound

This paper cites Dl3dv-10k: A large-scale scene dataset for deep learning-based 3d vision, 2023.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Dl3dv-10k: A large-scale scene dataset for deep learning-based 3d vision, 2023

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Source-reported events for the cited work

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Observation 8b70348f-42db-4951-ae27-0951c0a6903c · outbound

This paper cites Point mamba: A novel point cloud backbone based on state space model with octree-based ordering strategy, 2024.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Point mamba: A novel point cloud backbone based on state space model with octree-based ordering strategy, 2024

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Resolution: unresolved; no resolver link, observed 2026-06-28T10:14:42.067337Z

Source-reported events for the cited work

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Observation f09a2f78-d635-4a01-b9ea-c8fe9ccaf4e0 · outbound

This paper cites Neural sparse voxel fields.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Neural sparse voxel fields

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Resolution: unresolved; no resolver link, observed 2026-06-28T10:14:42.067337Z

Source-reported events for the cited work

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Observation 67fad8a2-909a-4eb7-8550-4006e02e6219 · outbound

This paper cites Zero-1-to-3: Zero-shot one image to 3d object.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Zero-1-to-3: Zero-shot one image to 3d object

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Source-reported events for the cited work

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Observation 9b79142d-b131-4cfb-b165-1acdc7273c5c · outbound

This paper cites Soft rasterizer: A differentiable renderer for image-based 3d reasoning, 2019.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Soft rasterizer: A differentiable renderer for image-based 3d reasoning, 2019

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Source-reported events for the cited work

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Observation e846bf5a-7994-4031-b0ba-93ff3ee7d4a3 · outbound

This paper cites Loper and Michael J.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Loper and Michael J

Reference 89

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Source-reported events for the cited work

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Observation eb194461-b85c-419e-ad10-93fe1f4eee02 · outbound

This paper cites Comport, Kefan Chen, and Srinath Sridhar.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Comport, Kefan Chen, and Srinath Sridhar

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Source-reported events for the cited work

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Observation 33c83da5-a1ba-4f48-8fca-bda6a0e0978e · outbound

This paper cites 3dctn: 3d convolution-transformer network for point cloud classification.IEEE Transactions on Intelligent Transportation Systems, 23(12):24854–24865, 2022.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application 3dctn: 3d convolution-transformer network for point cloud classification.IEEE Transactions on Intelligent Transportation Systems, 23(12):24854–24865, 2022

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Source-reported events for the cited work

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Observation 194d7946-07c2-4686-a952-bb99a0b1bffe · outbound

This paper cites Transformers in 3d point clouds: A survey, 2022.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Transformers in 3d point clouds: A survey, 2022

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2995e39e-66b1-4b49-a26b-63b594e39203 · outbound

This paper cites Dynamic 3d gaussians: Tracking by persistent dynamic view synthesis, 2023.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Dynamic 3d gaussians: Tracking by persistent dynamic view synthesis, 2023

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Source-reported events for the cited work

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Observation 614f160e-353d-445b-bd52-b7e1d83714ff · outbound

This paper cites Ojea, and Ken Goldberg.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Ojea, and Ken Goldberg

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Resolution: unresolved; no resolver link, observed 2026-06-28T10:14:42.067337Z

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Observation 0c04ceb4-00ae-4ee6-8088-d6ef01e0c10a · outbound

This paper cites Computer Science Press, Rockville, MD, 1988.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Computer Science Press, Rockville, MD, 1988

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Resolution: unresolved; no resolver link, observed 2026-06-28T10:14:42.067337Z

Source-reported events for the cited work

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Observation f2f5145c-75a7-4515-b1bb-3df76a5dd72b · outbound

This paper cites an unresolved cited work.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Unresolved cited work

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Resolution: unresolved; no resolver link, observed 2026-06-28T10:14:42.067337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d68e3996-df33-4fab-9f7c-2b82b944ce24 · outbound

This paper cites Voxnet: A 3d convolutional neural network for real-time object recognition.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Voxnet: A 3d convolutional neural network for real-time object recognition

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Source-reported events for the cited work

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Observation e26cd02f-e7ed-427d-b436-33caca84782b · outbound

This paper cites Occupancy networks: Learning 3d reconstruction in function space.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Occupancy networks: Learning 3d reconstruction in function space

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Source-reported events for the cited work

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Observation e3d1dab1-dd5c-4589-9bb6-7b5ade7ccf8e · outbound

This paper cites Latent-nerf for shape-guided generation of 3d shapes and textures.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Latent-nerf for shape-guided generation of 3d shapes and textures

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Resolution: unresolved; no resolver link, observed 2026-06-28T10:14:42.067337Z

Source-reported events for the cited work

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Observation ae8d4cea-c61b-4dc3-a5c0-2164967291b0 · outbound

This paper cites Srinivasan, Matthew Tancik, Jonathan T.

A Cookbook of 3D Vision: Data, Learning Paradigms, and Application Srinivasan, Matthew Tancik, Jonathan T

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Resolution: unresolved; no resolver link, observed 2026-06-28T10:14:42.067337Z

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Outbound references

Pith citing papers