SUMI: Scalable Unified Model for 3D Point Cloud Inference | Paper Citation Record

Observation dcd7d545-eb99-4672-b8e4-b5349d5f49a4 · outbound

This paper cites Poisson surface reconstruction.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Poisson surface reconstruction

Reference 1

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Observation 731ff33b-4445-43ce-8236-8c9c21025383 · outbound

This paper cites Database-assisted object retrieval for real-time 3d reconstruction.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Database-assisted object retrieval for real-time 3d reconstruction

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:28:22.724919Z

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Observation aa1c5b6f-0528-4a07-b213-28c99df15501 · outbound

This paper cites Example- based 3d scan completion.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Example- based 3d scan completion

Reference 3

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Observation cec12bd7-2dea-461b-bb07-4acc6b039206 · outbound

This paper cites High- resolution shape completion using deep neural networks for global structure and local geometry inference.

SUMI: Scalable Unified Model for 3D Point Cloud Inference High- resolution shape completion using deep neural networks for global structure and local geometry inference

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:28:22.444780Z

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Observation b418efdd-3862-4300-b6b5-64c968ee18f8 · outbound

This paper cites Pointr: Diverse point cloud completion with geometry-aware transformers.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Pointr: Diverse point cloud completion with geometry-aware transformers

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:28:22.280738Z

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Observation 02b1514b-ac3d-46d7-89f5-ed869bae3ca7 · outbound

This paper cites V oxel-based network for shape completion by leveraging edge generation.

SUMI: Scalable Unified Model for 3D Point Cloud Inference V oxel-based network for shape completion by leveraging edge generation

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:28:22.134753Z

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Observation 42a84a5a-cf74-42d5-a949-a3b3009082a0 · outbound

This paper cites Adaptive o-cnn: A patch-based deep representation of 3d shapes.ACM Transactions on Graphics (TOG), 37(6):1–11, 2018.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Adaptive o-cnn: A patch-based deep representation of 3d shapes.ACM Transactions on Graphics (TOG), 37(6):1–11, 2018

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:28:22.001605Z

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Observation 5eb89188-1b48-49b6-bb47-c9e6237ee420 · outbound

This paper cites Symmcompletion: High-fidelity and high-consistency point cloud completion with symmetry guidance.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Symmcompletion: High-fidelity and high-consistency point cloud completion with symmetry guidance

Reference 8

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Observation 8fcfb8c9-4b48-494e-9402-389c6e54824f · outbound

This paper cites Shape-controllable geometry completion for point cloud models.The Visual Computer, 33(3):385–398, 2017.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Shape-controllable geometry completion for point cloud models.The Visual Computer, 33(3):385–398, 2017

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:28:21.822142Z

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Observation aff185c2-8b03-4696-b5fa-33e3444081bd · outbound

This paper cites Symmetry descriptors and 3d shape matching.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Symmetry descriptors and 3d shape matching

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:28:21.694778Z

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Observation 53622914-5488-4c5f-acdf-ab5eaba31ca8 · outbound

This paper cites Partial and approximate symmetry detection for 3d geometry.ACM Transactions on Graphics (ToG), 25(3):560–568, 2006.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Partial and approximate symmetry detection for 3d geometry.ACM Transactions on Graphics (ToG), 25(3):560–568, 2006

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:28:21.493608Z

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Observation 859a3260-7da8-47da-96da-e05b672e84f4 · outbound

This paper cites Foldingnet: Point cloud auto-encoder via deep grid deformation.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Foldingnet: Point cloud auto-encoder via deep grid deformation

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:28:21.334758Z

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Observation 4dfbff4a-28e6-408d-a423-ed1a7c65d793 · outbound

This paper cites Vapcnet: viewpoint-aware 3d point cloud completion.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Vapcnet: viewpoint-aware 3d point cloud completion

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:28:21.174758Z

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Observation f324c68b-8e13-4cd5-b6cb-dcb681927eb5 · outbound

This paper cites Pointattn: You only need attention for point cloud completion.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Pointattn: You only need attention for point cloud completion

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:28:21.001926Z

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Observation 297ccdfe-91d2-4250-b671-a431ee05bda2 · outbound

This paper cites Seedformer: Patch seeds based point cloud completion with upsample transformer.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Seedformer: Patch seeds based point cloud completion with upsample transformer

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:28:20.871548Z

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Observation bdb325d5-87a4-4891-8b3d-407c1f419d44 · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Attention is all you need.Advances in neural information processing systems, 30, 2017

Reference 16

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Observation 49e68d91-b365-4326-a6af-ec70e1712a54 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

SUMI: Scalable Unified Model for 3D Point Cloud Inference BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 17

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Observation 3ef92c9a-4edc-4697-a303-98106fa485d9 · outbound

This paper cites GPT-4 Technical Report.

SUMI: Scalable Unified Model for 3D Point Cloud Inference GPT-4 Technical Report

Reference 18

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Observation 6b00ff3b-b307-47d0-bb6e-4d801e4d1fa5 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

SUMI: Scalable Unified Model for 3D Point Cloud Inference An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 19

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Observation bea709c2-f1fa-47ef-87e2-5d8ff8e7f729 · outbound

This paper cites Training data-efficient image transformers & distillation through attention.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Training data-efficient image transformers & distillation through attention

Reference 20

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Observation f539f961-d96e-4256-96d1-700d7a88724e · outbound

This paper cites Masked autoencoders are scalable vision learners.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Masked autoencoders are scalable vision learners

Reference 21

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Observation ee1d8c3d-f6b9-44cf-9d70-e9fe82d2f4d1 · outbound

This paper cites Medvit: a robust vision transformer for generalized medical image classification.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Medvit: a robust vision transformer for generalized medical image classification

Reference 22

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Observation 544e996d-6b05-46bd-93ce-1b4f4c49c5b8 · outbound

This paper cites Uniformer: Unifying convolution and self-attention for visual recognition.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(10):12581–12600, 2023.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Uniformer: Unifying convolution and self-attention for visual recognition.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(10):12581–12600, 2023

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:28:20.374819Z

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Observation e092cf5a-5599-4ec6-bae7-d5ddf9e5eee0 · outbound

This paper cites Detrs with collaborative hybrid assignments training.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Detrs with collaborative hybrid assignments training

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:28:20.214758Z

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Observation 37e89453-6e70-4616-9fbe-f0d1d3e9eb17 · outbound

This paper cites Detrs beat yolos on real-time object detection.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Detrs beat yolos on real-time object detection

Reference 25

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Observation ef8f3c0a-2f7a-4b2e-8f1e-d3f6326ab4e7 · outbound

This paper cites RT-DETRv2: Improved Baseline with Bag-of-Freebies for Real-Time Detection Transformer.

SUMI: Scalable Unified Model for 3D Point Cloud Inference RT-DETRv2: Improved Baseline with Bag-of-Freebies for Real-Time Detection Transformer

Reference 26

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Observation 9a4c90c4-ef6c-45dc-abe5-3289d0cf11d2 · outbound

This paper cites Tfnet: Transformer-based multi-scale feature fusion forest fire image detection network.Fire, 8 (2):59, 2025.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Tfnet: Transformer-based multi-scale feature fusion forest fire image detection network.Fire, 8 (2):59, 2025

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:28:19.985389Z

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Observation 4edfe548-e0ba-4a0c-97be-f942abcaa8a9 · outbound

This paper cites Grey wolf opti- mized swinunet based transformer framework for liver segmentation from ct images.Computers and Electrical Engineering, 117:109248, 2024.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Grey wolf opti- mized swinunet based transformer framework for liver segmentation from ct images.Computers and Electrical Engineering, 117:109248, 2024

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:28:19.876439Z

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Observation 1947e1ab-7811-40d2-a872-edd5085d2ae9 · outbound

This paper cites Patrans: Pixel-adaptive transformer for edge segmentation of cervical nuclei on small-scale datasets.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Patrans: Pixel-adaptive transformer for edge segmentation of cervical nuclei on small-scale datasets

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:28:19.851584Z

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Observation 950034a8-685d-4597-a66d-6af748d454c5 · outbound

This paper cites Cswin-unet: Transformer unet with cross-shaped windows for medical image segmentation.Information Fusion, 113:102634, 2025.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Cswin-unet: Transformer unet with cross-shaped windows for medical image segmentation.Information Fusion, 113:102634, 2025

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:28:19.824972Z

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Observation 710c21fc-5dff-41a6-8913-fb4ce2e62514 · outbound

This paper cites Pointclustering: Unsupervised point cloud pre-training using transformation invariance in clustering.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Pointclustering: Unsupervised point cloud pre-training using transformation invariance in clustering

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:28:19.736609Z

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Observation 04972c1e-925f-487d-a7d8-32436add0695 · outbound

This paper cites Spiking point transformer for point cloud classification.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Spiking point transformer for point cloud classification

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:28:19.685080Z

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Observation ffbe4431-b5e1-40f6-81e3-514d06117f06 · outbound

This paper cites Bwformer: Building wireframe reconstruction from airborne lidar point cloud with transformer.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Bwformer: Building wireframe reconstruction from airborne lidar point cloud with transformer

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:28:19.574760Z

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Observation ba7d44d9-0160-490b-81cb-6024027951d8 · outbound

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

SUMI: Scalable Unified Model for 3D Point Cloud Inference Oneformer3d: One transformer for unified point cloud segmentation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:28:19.447486Z

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Observation be23b193-2c1e-43ce-b996-f0c434f280a1 · outbound

This paper cites Position-guided point cloud panoptic segmentation transformer.International Journal of Computer Vision, 133(1):275–290, 2025.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Position-guided point cloud panoptic segmentation transformer.International Journal of Computer Vision, 133(1):275–290, 2025

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:28:19.342301Z

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Observation ad135f9d-2062-4aa9-bd5f-c07c184ce380 · outbound

This paper cites Point mask transformer for outdoor point cloud semantic segmentation.Computational Visual Media, 2025.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Point mask transformer for outdoor point cloud semantic segmentation.Computational Visual Media, 2025

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:28:19.297537Z

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Observation eef3cb69-5932-4bbf-abd4-e03cadaf8a65 · outbound

This paper cites 3dlst: 3d learnable supertoken transformer for lidar point cloud scene segmentation.International Journal of Applied Earth Observation and Geoinformation, 140:104572, 2025.

SUMI: Scalable Unified Model for 3D Point Cloud Inference 3dlst: 3d learnable supertoken transformer for lidar point cloud scene segmentation.International Journal of Applied Earth Observation and Geoinformation, 140:104572, 2025

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:28:19.262616Z

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Observation 85a9f7cd-f7b6-4735-9cbf-3b425fe97ac8 · outbound

This paper cites Text2lidar: Text-guided lidar point cloud generation via equirectangular transformer.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Text2lidar: Text-guided lidar point cloud generation via equirectangular transformer

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:28:19.194769Z

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Observation ffa6b5fa-3c1a-4b39-ad00-af1d16b34012 · outbound

This paper cites Sgformer: Semantic graph transformer for point cloud-based 3d scene graph generation.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Sgformer: Semantic graph transformer for point cloud-based 3d scene graph generation

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:28:19.074315Z

Source-reported events for the cited work

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Observation f5bded1e-ddaf-43cd-a614-a044b4ab4344 · outbound

This paper cites Pmp-net++: Point cloud completion by transformer-enhanced multi-step point moving paths.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(1):852–867, 2022.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Pmp-net++: Point cloud completion by transformer-enhanced multi-step point moving paths.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(1):852–867, 2022

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:28:18.938019Z

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Observation 77a9a8bf-ef4d-4d5f-a528-ea6f2c3d161b · outbound

This paper cites Dapointr: Domain adaptive point transformer for point cloud completion.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Dapointr: Domain adaptive point transformer for point cloud completion

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:28:18.786235Z

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Observation 369b284f-191f-4f86-a116-467cbfe0d739 · outbound

This paper cites Deep unsuper- vised learning using nonequilibrium thermodynamics.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Deep unsuper- vised learning using nonequilibrium thermodynamics

Reference 42

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Observation 8578ab55-a247-4b63-9108-d2903266a889 · outbound

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

SUMI: Scalable Unified Model for 3D Point Cloud Inference Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 43

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Observation 2ea38918-a88f-4d27-8f21-d412b26ca04e · outbound

This paper cites Diffusion models in vision: A survey.IEEE transactions on pattern analysis and machine intelligence, 45 (9):10850–10869, 2023.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Diffusion models in vision: A survey.IEEE transactions on pattern analysis and machine intelligence, 45 (9):10850–10869, 2023

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-12T00:28:15.714743Z

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Observation 84b424e6-1f06-49b5-bcc7-0b088eb8a89b · outbound

This paper cites Conditional Image Generation with Score-Based Diffusion Models.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Conditional Image Generation with Score-Based Diffusion Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-12T00:28:15.740451Z

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Observation 28b5e3b2-3939-4206-a096-efbef7ef29d6 · outbound

This paper cites Freedom: Training- free energy-guided conditional diffusion model.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Freedom: Training- free energy-guided conditional diffusion model

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-12T00:28:15.774819Z

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Observation b9bb9712-99fe-45f9-a4f4-be3c01c28acc · outbound

This paper cites Conditional text image generation with diffusion models.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Conditional text image generation with diffusion models

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:28:18.312155Z

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Observation cbe6b72b-dd6e-4bba-8e72-b1c333331c1f · outbound

This paper cites Return of unconditional generation: A self- supervised representation generation method.Advances in Neural Information Processing Systems, 37:125441–125468, 2024.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Return of unconditional generation: A self- supervised representation generation method.Advances in Neural Information Processing Systems, 37:125441–125468, 2024

Reference 48

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Observation 8d19e859-09cf-4f9f-881c-d73463b77f86 · outbound

This paper cites Implicit diffusion models for continuous super-resolution.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Implicit diffusion models for continuous super-resolution

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-12T00:28:15.819116Z

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Observation 21e52924-c194-471e-9304-b5a0d4daa007 · outbound

This paper cites Resdiff: Combining cnn and diffusion model for image super-resolution.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Resdiff: Combining cnn and diffusion model for image super-resolution

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:28:18.171460Z

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Observation 1e24f5e8-7226-4f33-b4be-45423b32b887 · outbound

This paper cites Ediffsr: An efficient diffusion probabilistic model for remote sensing image super-resolution.IEEE Transactions on Geoscience and Remote Sensing, 62:1–14, 2023.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Ediffsr: An efficient diffusion probabilistic model for remote sensing image super-resolution.IEEE Transactions on Geoscience and Remote Sensing, 62:1–14, 2023

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-12T00:28:15.844241Z

Source-reported events for the cited work

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Observation 6ae8f749-2edb-4021-8bb7-d4f755de89aa · outbound

This paper cites Acdmsr: Accelerated conditional diffusion models for single image super-resolution.IEEE Transactions on Broadcasting, 70(2):492–504, 2024.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Acdmsr: Accelerated conditional diffusion models for single image super-resolution.IEEE Transactions on Broadcasting, 70(2):492–504, 2024

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:28:18.015777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b5fd3d7a-2c1c-4015-902a-df51fc30bf41 · outbound

This paper cites Inpdiffusion: Image inpainting localization via conditional diffusion models.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Inpdiffusion: Image inpainting localization via conditional diffusion models

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:28:17.884748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 37b2d9ac-c935-4f12-bda4-cd0440257545 · outbound

This paper cites Rad: Region-aware diffusion models for image inpainting.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Rad: Region-aware diffusion models for image inpainting

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:28:17.834057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 098ac7a2-33aa-4124-abff-7df359d38f1b · outbound

This paper cites Efficient and scalable point cloud generation with sparse point- voxel diffusion models.IEEE Transactions on Neural Networks and Learning Systems, 2025.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Efficient and scalable point cloud generation with sparse point- voxel diffusion models.IEEE Transactions on Neural Networks and Learning Systems, 2025

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:28:17.787512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 69c28505-7be2-4a73-aaab-d00da22d8e6d · outbound

This paper cites Diffusion probabilistic models for 3d point cloud generation.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Diffusion probabilistic models for 3d point cloud generation

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-12T00:28:15.920689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c539c86b-58c2-4e5f-807f-af4600f75c9d · outbound

This paper cites Sketch and text guided diffu- sion model for colored point cloud generation.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Sketch and text guided diffu- sion model for colored point cloud generation

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:28:17.740595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 632a994a-fc80-42cb-af46-2ced57df8446 · outbound

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

SUMI: Scalable Unified Model for 3D Point Cloud Inference Lion: Latent point diffusion models for 3d shape generation.Advances in Neural Information Processing Systems, 35:10021–10039, 2022

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-12T00:28:15.935658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d57cdce1-59f3-46fe-8a27-5368b7c9d2ec · outbound

This paper cites Octfusion: Octree-based diffusion models for 3d shape generation.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Octfusion: Octree-based diffusion models for 3d shape generation

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:28:17.680171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 19fe150f-1560-45f8-bb04-6e3a2b155a62 · outbound

This paper cites 3dshape2vecset: A 3d shape representation for neural fields and generative diffusion models.ACM Transactions On Graphics (TOG), 42(4):1–16, 2023.

SUMI: Scalable Unified Model for 3D Point Cloud Inference 3dshape2vecset: A 3d shape representation for neural fields and generative diffusion models.ACM Transactions On Graphics (TOG), 42(4):1–16, 2023

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-12T00:28:15.969953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 831fe442-81aa-434f-9bf2-7094eb81a5b8 · outbound

This paper cites 3d shape generation and completion through point-voxel diffusion.

SUMI: Scalable Unified Model for 3D Point Cloud Inference 3d shape generation and completion through point-voxel diffusion

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:28:17.631560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 577036a1-a8d9-456a-82f2-c9e605c49fed · outbound

This paper cites ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model.

SUMI: Scalable Unified Model for 3D Point Cloud Inference ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-12T00:28:16.032950Z

Source-reported events for the cited work

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Observation 81595105-a578-4630-ba63-71cdb12a5b6a · outbound

This paper cites Vis- tadream: Sampling multiview consistent images for single-view scene reconstruction.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Vis- tadream: Sampling multiview consistent images for single-view scene reconstruction

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:28:17.584865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0170e7ab-9913-4a83-8cdf-40fd69bce849 · outbound

This paper cites Diffindscene: Diffusion-based high-quality 3d indoor scene generation.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Diffindscene: Diffusion-based high-quality 3d indoor scene generation

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:28:17.542685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 27dd30a7-9794-49cd-b347-5120904defef · outbound

This paper cites Point cloud completion with pretrained text-to- image diffusion models.Advances in Neural Information Processing Systems, 36:12171–12191, 2023.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Point cloud completion with pretrained text-to- image diffusion models.Advances in Neural Information Processing Systems, 36:12171–12191, 2023

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:28:17.497150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 30976f93-22f1-49b8-8d27-197caa607304 · outbound

This paper cites Superpc: a single diffusion model for point cloud completion, upsampling, denoising, and colorization.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Superpc: a single diffusion model for point cloud completion, upsampling, denoising, and colorization

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:28:17.446217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4b57c002-506b-4481-8cb0-a7aa767ac3a0 · outbound

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

SUMI: Scalable Unified Model for 3D Point Cloud Inference A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-12T00:28:16.089417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1e69740-02b8-4637-972f-ab718a87e98c · outbound

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

SUMI: Scalable Unified Model for 3D Point Cloud Inference LRM: Large Reconstruction Model for Single Image to 3D

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-12T00:28:16.099136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6618fec2-0e29-4488-9b91-e1409a7fbc9f · outbound

This paper cites Pcn: Point completion network.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Pcn: Point completion network

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:28:17.402312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e60ab0c6-d1c8-4555-a326-03995ec20e87 · outbound

This paper cites 3d shapenets: A deep representation for volumetric shapes.

SUMI: Scalable Unified Model for 3D Point Cloud Inference 3d shapenets: A deep representation for volumetric shapes

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:28:17.360380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2c53a8e9-d47f-4982-9780-23565065ed81 · outbound

This paper cites Multi-View Partial (MVP) Point Cloud Challenge 2021 on Completion and Registration: Methods and Results.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Multi-View Partial (MVP) Point Cloud Challenge 2021 on Completion and Registration: Methods and Results

Reference 71

Resolution: verified exact; local_arxiv, observed 2026-08-12T00:28:16.381188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 09b45d06-7934-4e8c-9f93-88a2908621e4 · outbound

This paper cites Sc-diff: Semantic-collaborative diffusion for multi- class anomaly detection.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Sc-diff: Semantic-collaborative diffusion for multi- class anomaly detection

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:28:17.197284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e0ae9ca5-b2b8-4f7f-bf4e-8592d4f1f51e · outbound

This paper cites Svdformer: Complementing point cloud via self-view augmentation and self-structure dual-generator.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Svdformer: Complementing point cloud via self-view augmentation and self-structure dual-generator

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:28:17.137718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 77e481b7-e273-44e3-833b-a4dce368a09a · outbound

This paper cites Cra-pcn: Point cloud completion with intra-and inter-level cross-resolution transformers.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Cra-pcn: Point cloud completion with intra-and inter-level cross-resolution transformers

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:28:17.062204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2c1b45c3-b913-4bbd-ad1d-bb6217231aaf · outbound

This paper cites T-corresnet: Template guided 3d point cloud completion with correspondence pooling query generation strategy.

SUMI: Scalable Unified Model for 3D Point Cloud Inference T-corresnet: Template guided 3d point cloud completion with correspondence pooling query generation strategy

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:28:17.012133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b619b3a5-0216-4a88-a531-3716151736b9 · outbound

This paper cites Dc-pcn: Point cloud completion network with dual-codebook guided quantization.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Dc-pcn: Point cloud completion network with dual-codebook guided quantization

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:28:16.949528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 362aa5dd-ae23-4623-94fd-e06148601418 · outbound

This paper cites Snowflakenet: Point cloud completion by snowflake point deconvolution with skip-transformer.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Snowflakenet: Point cloud completion by snowflake point deconvolution with skip-transformer

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:28:16.913104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c9af29b8-1ac0-463b-a717-019507b4276d · outbound

This paper cites Aednet: adaptive embedding and multiview-aware disentanglement for point cloud completion.

SUMI: Scalable Unified Model for 3D Point Cloud Inference Aednet: adaptive embedding and multiview-aware disentanglement for point cloud completion

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T00:28:16.864735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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