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Paper Citation Record · LEDGER

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors

As of 15 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2411.19036.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2411.19036 v3

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:40:43.626979Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

58 of 58 outbound references displayed

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  • unresolved25
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d7662a68-689e-4bb5-9039-0e0a3ff76979 · outbound

This paper cites Cross- modal learning for image-guided point cloud shape comple- tion.

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors Cross- modal learning for image-guided point cloud shape comple- tion

Reference 1

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Observation efca951a-66a1-401e-a52e-7e9aaa51eb96 · outbound

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

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 2

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Observation 5d60e705-dfc9-463e-81d1-81885e2b7d9b · outbound

This paper cites Align your latents: High-resolution video synthesis with la- tent diffusion models.

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors Align your latents: High-resolution video synthesis with la- tent diffusion models

Reference 3

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Observation 37872a04-c372-41d8-b7cc-5f1322ebe2c2 · outbound

This paper cites Past, present, and future of simultaneous localiza- tion and mapping: Toward the robust-perception age.

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors Past, present, and future of simultaneous localiza- tion and mapping: Toward the robust-perception age

Reference 4

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Observation 7da62bbe-d498-4442-970a-1ea71486b5d8 · outbound

This paper cites ShapeNet: An Information-Rich 3D Model Repository.

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors ShapeNet: An Information-Rich 3D Model Repository

Reference 5

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Observation dc27175f-3a97-45e3-adb9-f81113324f73 · outbound

This paper cites Anchorformer: Point cloud completion from discriminative nodes.

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors Anchorformer: Point cloud completion from discriminative nodes

Reference 6

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Observation 8146a98d-3551-416e-b930-937aac7d1c1e · outbound

This paper cites Shape completion using 3d-encoder-predictor cnns and shape synthesis.

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors Shape completion using 3d-encoder-predictor cnns and shape synthesis

Reference 7

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Observation 6433b96f-510a-462a-b2d5-0b9011122240 · outbound

This paper cites Vision meets robotics: The kitti dataset.

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors Vision meets robotics: The kitti dataset

Reference 8

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Observation be6d8c30-a7d3-4bca-9be9-2c541798ce73 · outbound

This paper cites Animatediff: Animate your personalized text-to- image diffusion models without specific tuning, 2024.

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors Animatediff: Animate your personalized text-to- image diffusion models without specific tuning, 2024

Reference 9

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Observation 6db9ca9b-cec6-4c33-9c04-8869151e9b25 · outbound

This paper cites 3d semantic segmentation based on spatial-aware convolution and shape completion for augmented reality ap- plications.

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors 3d semantic segmentation based on spatial-aware convolution and shape completion for augmented reality ap- plications

Reference 10

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Observation 5cd75001-0e16-48c8-8e0d-c2f104ad13b1 · outbound

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

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors High-resolution shape com- pletion using deep neural networks for global structure and local geometry inference

Reference 11

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Observation 51b006de-9b4f-4868-b509-ed267a2fd705 · outbound

This paper cites Latent video diffusion models for high-fidelity long video generation, 2023.

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors Latent video diffusion models for high-fidelity long video generation, 2023

Reference 12

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Observation 760909f3-81dc-467c-ab7c-018057e50deb · outbound

This paper cites Mvd-fusion: Single-view 3d via depth-consistent multi-view generation.

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors Mvd-fusion: Single-view 3d via depth-consistent multi-view generation

Reference 13

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

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Observation 1fb1c899-8072-4b1f-b2d3-aed05c6ecc3c · outbound

This paper cites Render4completion: Synthesizing multi-view depth maps for 3d shape completion.

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors Render4completion: Synthesizing multi-view depth maps for 3d shape completion

Reference 14

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

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Observation 3ca5a092-af32-4179-9514-512fca766ddd · outbound

This paper cites Pf-net: Point fractal network for 3d point cloud completion.

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors Pf-net: Point fractal network for 3d point cloud completion

Reference 15

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Observation 940f8c10-7663-47cb-89fe-17836734a919 · outbound

This paper cites Epidiff: Enhancing multi-view synthesis via localized epipolar-constrained diffusion.

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors Epidiff: Enhancing multi-view synthesis via localized epipolar-constrained diffusion

Reference 16

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

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Observation 55df955c-0925-415f-b8a5-623b1218c54c · outbound

This paper cites Point-Cloud Completion with Pretrained Text-to-image Diffusion Models.

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors Point-Cloud Completion with Pretrained Text-to-image Diffusion Models

Reference 17

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Observation da014c9d-32ae-4951-87ee-4032c35f8cd1 · outbound

This paper cites Autoware on board: Enabling autonomous vehicles with embedded systems.

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors Autoware on board: Enabling autonomous vehicles with embedded systems

Reference 18

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

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Observation 989351e8-f3d4-42d4-9510-9aa006885785 · outbound

This paper cites Text2video-zero: Text- to-image diffusion models are zero-shot video generators.

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors Text2video-zero: Text- to-image diffusion models are zero-shot video generators

Reference 19

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Observation af1fe7df-a126-44e1-8959-5d8028eb64b8 · outbound

This paper cites Era3D: High-Resolution Multiview Diffusion using Efficient Row-wise Attention.

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors Era3D: High-Resolution Multiview Diffusion using Efficient Row-wise Attention

Reference 20

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Observation f3c6c915-39f3-4e77-b53b-c9ed304817ec · outbound

This paper cites CraftsMan3D: High-fidelity Mesh Generation with 3D Native Generation and Interactive Geometry Refiner.

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors CraftsMan3D: High-fidelity Mesh Generation with 3D Native Generation and Interactive Geometry Refiner

Reference 21

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Observation 99590eef-c354-4d0f-a691-eab08b8d4006 · outbound

This paper cites Hyperbolic cham- fer distance for point cloud completion.

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors Hyperbolic cham- fer distance for point cloud completion

Reference 22

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

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Observation d98466a2-e156-4da5-bf3e-3dbd69967298 · outbound

This paper cites Morphing and sampling network for dense point cloud completion.

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors Morphing and sampling network for dense point cloud completion

Reference 23

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

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Observation 62e5761d-aaa8-43f4-b317-5262e117b34d · outbound

This paper cites One-2-3-45++: Fast single im- age to 3d objects with consistent multi-view generation and 3d diffusion.

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors One-2-3-45++: Fast single im- age to 3d objects with consistent multi-view generation and 3d diffusion

Reference 24

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

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Observation 9d2b6847-c3ba-4708-afc2-c38b183f4102 · outbound

This paper cites SyncDreamer: Generating Multiview-consistent Images from a Single-view Image.

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors SyncDreamer: Generating Multiview-consistent Images from a Single-view Image

Reference 25

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Observation b9e1a47f-67a9-48cb-8b65-7f53902576c9 · outbound

This paper cites Wonder3d: Sin- gle image to 3d using cross-domain diffusion.

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors Wonder3d: Sin- gle image to 3d using cross-domain diffusion

Reference 26

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Observation 9628e354-a237-4186-981d-cd9c28c54cc7 · outbound

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

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors Pointnet: Deep learning on point sets for 3d classification and segmentation

Reference 27

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Observation bb1129fe-2947-4ea5-82b3-efe8003c8317 · outbound

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

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors Pointnet++: Deep hierarchical feature learning on point sets in a metric space

Reference 28

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Observation eb78a0d1-4cac-4525-b317-d212f7ef882d · outbound

This paper cites Richdreamer: A generalizable normal-depth diffusion model for detail richness in text-to- 3d.

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors Richdreamer: A generalizable normal-depth diffusion model for detail richness in text-to- 3d

Reference 29

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Observation dd792609-cc2b-4718-b206-9fcaea0e7815 · outbound

This paper cites Carfusion: Combining point tracking and part detection for dynamic 3d reconstruction of vehicles.

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors Carfusion: Combining point tracking and part detection for dynamic 3d reconstruction of vehicles

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-12T10:40:44.178338Z

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

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Observation 366326ed-8d81-4503-a9e7-2ab58681e4f0 · outbound

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

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors Cra-pcn: Point cloud completion with intra-and inter-level cross-resolution transformers

Reference 31

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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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Observation 66f3486b-9c8b-4cf6-8d46-57913951b69e · outbound

This paper cites MVDream: Multi-view Diffusion for 3D Generation.

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors MVDream: Multi-view Diffusion for 3D Generation

Reference 32

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Observation f9451179-30d6-4af1-ac62-4517f5c63a8b · outbound

This paper cites Learning 3d shape comple- tion from laser scan data with weak supervision.

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors Learning 3d shape comple- tion from laser scan data with weak supervision

Reference 33

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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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Observation 93cafeff-5a85-44b9-8a63-6dcd063a270f · outbound

This paper cites Lake-net: Topology-aware point cloud comple- tion by localizing aligned keypoints.

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors Lake-net: Topology-aware point cloud comple- tion by localizing aligned keypoints

Reference 34

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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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Observation a553326a-7411-4e0d-bee8-42ea3c0be149 · outbound

This paper cites Lgm: Large multi-view gaussian model for high-resolution 3d content creation.

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors Lgm: Large multi-view gaussian model for high-resolution 3d content creation

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:40:44.113472Z

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.

source=pdf_text observed=2026-08-12T10:40:43.521052Z digest=sha256:f81a8a243f46383d714a07447025e7f709bc42ba9846f6532ffb0b6113b9e639

Observation 2265c053-4117-40fb-a124-f8d83ebbf5f3 · outbound

This paper cites Mvdiffusion: Enabling holistic multi- view image generation with correspondence-aware diffu- sion.

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors Mvdiffusion: Enabling holistic multi- view image generation with correspondence-aware diffu- sion

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:40:44.098047Z

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.

source=pdf_text observed=2026-08-12T10:40:43.525408Z digest=sha256:12b7dc2bb7999e63b5885fe166a5766c6949372928a1f8e53ccff2e8d873f05a

Observation 8327347f-b148-422f-88b1-2e45cfab2e00 · outbound

This paper cites Revisiting point cloud classification: A new benchmark dataset and classifi- cation model on real-world data.

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors Revisiting point cloud classification: A new benchmark dataset and classifi- cation model on real-world data

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:40:44.082244Z

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.

source=pdf_text observed=2026-08-12T10:40:43.529807Z digest=sha256:df0d3a5865429adcd91f72ca080f5502c7876e8b56198586dcef1ae7d0f2eb08

Observation 7fd6fdcd-0db9-4d0e-9b99-b99a78de5433 · outbound

This paper cites Shape completion enabled robotic grasping.

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors Shape completion enabled robotic grasping

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:40:44.066294Z

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.

source=pdf_text observed=2026-08-12T10:40:43.534137Z digest=sha256:ad176a15de291349fb3b101979f721b94744f57369787089af9bf7fe156bfc61

Observation b89d8d1d-118e-461a-8deb-c48d79064931 · outbound

This paper cites Cas- caded refinement network for point cloud completion.

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors Cas- caded refinement network for point cloud completion

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:40:44.050282Z

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.

source=pdf_text observed=2026-08-12T10:40:43.538658Z digest=sha256:34ed8015372deb5efdd74c78b7eba05788e57c4bb84bf0e25418485382d5b9ff

Observation 0cf1beb9-e88c-452c-8059-4895a65773f3 · outbound

This paper cites Dynamic graph cnn for learning on point clouds.

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors Dynamic graph cnn for learning on point clouds

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-12T10:40:43.543218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:40:43.543218Z digest=sha256:8c7da5963a6e7b90272573602e8e63fdaed70e6e4a299123a719b241183f7866

Observation f7fda5fa-3f66-4db1-aeaa-bbe7b9c10dc7 · outbound

This paper cites CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model.

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-12T10:40:43.547642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:40:43.547642Z digest=sha256:54f4eba5d377b539608368a2ea400cd230da3a26eef2039328671632b762dc30

Observation 75727566-c45f-438b-b774-0fd1ab9d500b · outbound

This paper cites Pmp-net++: Point cloud completion by transformer-enhanced multi-step point mov- ing paths.

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors Pmp-net++: Point cloud completion by transformer-enhanced multi-step point mov- ing paths

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:40:44.021380Z

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.

source=pdf_text observed=2026-08-12T10:40:43.552331Z digest=sha256:277bd22de66bfe55ee190201927c920d88eab7bb6db9690b21bdc2a1cae3af7a

Observation 01f1053c-fba9-4712-8f30-18ee05d43a45 · outbound

This paper cites Lever- aging single-view images for unsupervised 3d point cloud completion.

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors Lever- aging single-view images for unsupervised 3d point cloud completion

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:40:44.004651Z

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.

source=pdf_text observed=2026-08-12T10:40:43.557091Z digest=sha256:24f57a87b78e0fe41baa332ce4f7db428110c921888eb0b26dcaa2b93b9ca03f

Observation 1af3da5f-2416-4763-9282-18912a4437ba · outbound

This paper cites Balanced chamfer distance as a comprehen- sive metric for point cloud completion.

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors Balanced chamfer distance as a comprehen- sive metric for point cloud completion

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:40:43.988915Z

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.

source=pdf_text observed=2026-08-12T10:40:43.561751Z digest=sha256:7d3c50ce159219e20f73e008dd4025e58278e291ce1fcf3093d009dc5adeceba

Observation d3a078d9-b3c6-409a-8a31-0361a1ae4d23 · outbound

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

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors Snowflakenet: Point cloud completion by snowflake point deconvolution with skip-transformer

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-12T10:40:43.566457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:40:43.566457Z digest=sha256:2533bd85957fc21c52fd789351acb625ff69dd2f8671d58434e8c399e1c90ae8

Observation 9ac50ccc-7ac7-495f-b338-b58610ab2554 · outbound

This paper cites Grnet: Gridding resid- ual network for dense point cloud completion.

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors Grnet: Gridding resid- ual network for dense point cloud completion

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-12T10:40:43.571152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:40:43.571152Z digest=sha256:070232fea534f0af82c899767c42e1b27b63f0dc7ddc138e948add41ee7a5c31

Observation d295c2ec-d5c3-41f5-b0b3-d6928198eb62 · outbound

This paper cites Fbnet: Feedback network for point cloud completion.

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors Fbnet: Feedback network for point cloud completion

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:40:43.954644Z

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.

source=pdf_text observed=2026-08-12T10:40:43.576350Z digest=sha256:8b940a65a90e79b17228bf50b36b862abecf0b164c5dd240eb8654e85d5b9572

Observation 8efba1c7-0603-42c7-9cfc-1358063f0ff9 · outbound

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

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors Depth anything: Unleashing the power of large-scale unlabeled data

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-12T10:40:43.580869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:40:43.580869Z digest=sha256:0331d6d03dec5384fda0bcd99dcbe485fc2300a016ebd6a94f27190fd5e766c7

Observation e26f0da9-5174-4492-9976-e69a4c61bf87 · outbound

This paper cites Geoformer: Learning point cloud completion with tri-plane integrated transformer.

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors Geoformer: Learning point cloud completion with tri-plane integrated transformer

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:40:43.929178Z

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.

source=pdf_text observed=2026-08-12T10:40:43.585263Z digest=sha256:d922789908c60a4e83d2bd9f77dcdf228acf26383508f279baaec04ad37ab7c6

Observation c100455c-d2eb-4aab-b86c-90c25bc8f736 · outbound

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

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors Pointr: Diverse point cloud comple- tion with geometry-aware transformers

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:40:43.912392Z

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.

source=pdf_text observed=2026-08-12T10:40:43.589850Z digest=sha256:5819ba20ec4cc131523350474bb4cddc88fe970619cdfb45bcc812e02f5472ea

Observation 3a36b175-627d-4a52-b78d-ec7bd4384df4 · outbound

This paper cites Pcn: Point completion network.

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors Pcn: Point completion network

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:40:43.896518Z

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.

source=pdf_text observed=2026-08-12T10:40:43.594583Z digest=sha256:4fbf06edb6c9d7554f218a12fe0a10ec71416b257f168bdbebdb9968ffc5bac7

Observation 4af4991e-f60f-4a77-949c-e7ddd8bc9ac5 · outbound

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

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors Adding conditional control to text-to-image diffusion models

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-12T10:40:43.599229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:40:43.599229Z digest=sha256:bfe0121581dc22d84eff68fd1f13384aa1ea00a4a4cad1eef09c70ee0f5bee70

Observation 63da6299-49b8-4304-8362-f4e30efab190 · outbound

This paper cites View- guided point cloud completion.

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors View- guided point cloud completion

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:40:43.870659Z

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.

source=pdf_text observed=2026-08-12T10:40:43.603522Z digest=sha256:80bb8260fd05d0186f9ec3f56b96c3c014b597e166094b7f4f2baa64f111de81

Observation 5dbbe902-305a-4a64-8ba8-ca51c3b8e61d · outbound

This paper cites ControlVideo: Training-free Controllable Text-to-Video Generation.

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors ControlVideo: Training-free Controllable Text-to-Video Generation

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-12T10:40:43.608214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:40:43.608214Z digest=sha256:9bb62621367d9cbeb6036c941cc82ac9a8f97bd82e6e541ddd8eb2b0b15e17cb

Observation cc3cd2b9-81bc-433b-90c4-e922e2d72a05 · outbound

This paper cites Point transformer.

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors Point transformer

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-12T10:40:43.613126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:40:43.613126Z digest=sha256:1b6f60a90dba58d49974842ef6c15092869668b6b826f478fa695faafacb57e4

Observation 55762ef4-28cb-4789-8201-ba02f79298fa · outbound

This paper cites MagicVideo: Efficient Video Generation With Latent Diffusion Models.

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors MagicVideo: Efficient Video Generation With Latent Diffusion Models

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-12T10:40:43.617825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:40:43.617825Z digest=sha256:4e3d4fa1602233b1875ca71376a47412fce01611438a2dc66ecf4869611ab462

Observation 0486888b-d44b-42f9-aea3-bf9438bd2a72 · outbound

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

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors Seedformer: Patch seeds based point cloud completion with upsample transformer

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:40:43.844962Z

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.

source=pdf_text observed=2026-08-12T10:40:43.622661Z digest=sha256:8105a136a1026c56d5e993e59c166a79ed71d60109e451eb8db56adf6125a8bb

Observation 35539181-7f8b-4d18-a100-b8814944ae96 · outbound

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

PCDreamer: Point Cloud Completion Through Multi-view Diffusion Priors Svdformer: Complementing point cloud via self-view augmentation and self-structure dual- generator

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:40:43.829306Z

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.

source=pdf_text observed=2026-08-12T10:40:43.626979Z digest=sha256:afe0f89373728a6d3821247c3661c9817be9f9cc37d38bf79974bdc1930e384f

Pith citing papers

No inbound Pith citation observations are available.