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Paper Citation Record · LEDGER

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion

As of 8 August 2026, this Paper Citation Record lists 77 of 77 outbound references and 0 inbound Pith citation observations for arXiv:2507.04403.

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

pith.paper-citation-record.v1
2507.04403 v1

Coverage vector

measured 77 of 77 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:54:46.829831Z

measured 77 of 77 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

77 of 77 outbound references displayed

  • verified exact0
  • verified fuzzy35
  • unresolved42
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 490e4878-c6d6-4613-bfc9-fa45799ac7c2 · outbound

This paper cites CompoNeRF: Text-guided Multi-object Compositional NeRF with Editable 3D Scene Layout.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion CompoNeRF: Text-guided Multi-object Compositional NeRF with Editable 3D Scene Layout

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 10923c09-836f-49a8-8f41-4805fefca6f2 · outbound

This paper cites Persistent nature: A generative model of un- bounded 3d worlds.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Persistent nature: A generative model of un- bounded 3d worlds

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.729206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:54:46.561942Z digest=sha256:7ead74d026f6716a636988789ee3cfe6610d8964b054b4ff95356844519210b7

Observation 6094a990-40a6-4a21-aef7-58aac5bedac6 · outbound

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

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion ShapeNet: An Information-Rich 3D Model Repository

Reference 3

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no resolver link, observed 2026-08-06T19:54:46.565758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.565758Z digest=sha256:0577c2e3c9317d2f4bf65ef6e0c4f87fc4d7983638768a1c8715af2410b241fb

Observation 6153ff79-4780-48b9-8440-a4f53c840f70 · outbound

This paper cites MeshXL: Neural Coordinate Field for Generative 3D Foundation Models.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion MeshXL: Neural Coordinate Field for Generative 3D Foundation Models

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.569725Z digest=sha256:1fd5293e7bc354af9461d0103bfd5c7ffeeaabc54905b1f895c50708c04fd616

Observation e4e423cc-ee9f-48f8-a6f7-6dcf0405eca0 · outbound

This paper cites MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.573545Z digest=sha256:2224d2a3fe23c142c1fd4d4b64ad057f6f499170a9bfeab3a4a05510cb571187

Observation d1a19442-8538-422b-9863-19b7c0211dbb · outbound

This paper cites MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh Tokenization.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh Tokenization

Reference 6

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no resolver link, observed 2026-08-06T19:54:46.577622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.577622Z digest=sha256:6bf800c7296671767dae1c42ebbe9766f7af7603afc34419e538bdb4cc3b08d7

Observation a3e999ef-c310-4098-a307-3bf742683ab7 · outbound

This paper cites Scene- dreamer: Unbounded 3d scene generation from 2d image collections.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Scene- dreamer: Unbounded 3d scene generation from 2d image collections

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.719958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:54:46.581481Z digest=sha256:0367ac405ef9ef35e2e8eb97c6859e31f1a6e4098c347899d79054547c2d5cca

Observation ac47e117-8895-4575-a87a-86cfb4993119 · outbound

This paper cites Progressive3D: Progressively Local Editing for Text-to-3D Content Creation with Complex Semantic Prompts.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Progressive3D: Progressively Local Editing for Text-to-3D Content Creation with Complex Semantic Prompts

Reference 8

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no resolver link, observed 2026-08-06T19:54:46.585030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.585030Z digest=sha256:b26d500df840d2d5742c72b0bbe30252f599d60a1fea6b76e0f923353f72b348

Observation 43e9db2d-cd20-427a-9ec5-fd0bc25defcd · outbound

This paper cites Set-the-scene: Global-local training for generating controllable nerf scenes.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Set-the-scene: Global-local training for generating controllable nerf scenes

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.710261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:54:46.589023Z digest=sha256:7f8964516ce13caf9673f6a29abd3c240e905f35a8ffbf443c1d744e631ed3a0

Observation 66626eb8-bea4-4ea1-a6dc-b4cb1f3d79fd · outbound

This paper cites Streetscapes: Large-scale consistent street view generation using autore- gressive video diffusion.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Streetscapes: Large-scale consistent street view generation using autore- gressive video diffusion

Reference 10

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raw_fallback, observed 2026-08-06T19:54:47.700468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:54:46.592594Z digest=sha256:236dbd09e076593ba08a582ca809523aa181e8fc891f8d904e9f529daf288af8

Observation 1464456e-be38-4270-8481-49e252708363 · outbound

This paper cites CityCraft: A Real Crafter for 3D City Generation.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion CityCraft: A Real Crafter for 3D City Generation

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.596050Z digest=sha256:a39d53e824f346184313c660b22080ff0abd1176d04935e2f2f2f718bcb5f5ca

Observation 2a786048-6e5f-4a0d-afe9-89299b590211 · outbound

This paper cites Diffusion models beat gans on image synthesis.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Diffusion models beat gans on image synthesis

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.599797Z digest=sha256:6707c3d563eb808251d3aa3efc168ea828cb5e5ca7a48ec60a5718102942a41f

Observation 8ac28178-7143-41e4-90aa-5e76ae7fe322 · outbound

This paper cites SynCity: Training-Free Generation of 3D Worlds.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion SynCity: Training-Free Generation of 3D Worlds

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T19:54:46.603260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.603260Z digest=sha256:cf3257175f3032f296e2592a4505f5a962270041c63c1d0fb1edacc1ccf44e74

Observation 9a32de57-59a3-4c31-8f44-9f7c9fe1ca85 · outbound

This paper cites Disentangled 3D Scene Generation with Layout Learning.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Disentangled 3D Scene Generation with Layout Learning

Reference 14

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no resolver link, observed 2026-08-06T19:54:46.607165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.607165Z digest=sha256:9bde7655aece86e317af229d32ee5d822709f877c39df99bfba81c0c7058642a

Observation 5d1b4f5a-f9dc-466f-b3ad-acf6e9d46c04 · outbound

This paper cites Blender - a 3d modeling and animation software, 2025.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Blender - a 3d modeling and animation software, 2025

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.683515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:54:46.610765Z digest=sha256:b479a448d4149e6444df412f2a48893179619a2658667242202f9b75768ee9c9

Observation 08d5615e-f28f-476c-88e4-90c569ad5af4 · outbound

This paper cites Scenescape: Text-driven consistent scene generation.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Scenescape: Text-driven consistent scene generation

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.673846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:54:46.614086Z digest=sha256:59102226113af0179bdfabda9fa80d3caa32e127ffba4984eb8bc8fc943169ce

Observation bca23d07-0645-4fac-aa07-18f31c5baf2c · outbound

This paper cites Gancraft: Unsupervised 3d neural rendering of minecraft worlds.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Gancraft: Unsupervised 3d neural rendering of minecraft worlds

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:54:46.617313Z digest=sha256:7aff174a17230061892e815d6d7be03293a101c6cec70034475abafd4b9efee8

Observation ba00dd5e-d0a6-4cdf-8a73-4c8417e14950 · outbound

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

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion LRM: Large Reconstruction Model for Single Image to 3D

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.620350Z digest=sha256:495c455b303b1b3854593ca56ad62b868fb5fe2fee0dd80d865b80e3a117a73e

Observation e54be0d0-625a-4adf-ab9d-8dd1a7bf2e40 · outbound

This paper cites Benchmarking implicit neu- ral representation and geometric rendering in real-time rgb-d slam.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Benchmarking implicit neu- ral representation and geometric rendering in real-time rgb-d slam

Reference 19

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verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.652556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:54:46.623969Z digest=sha256:f3ce4f2549c202cce7c7d5ec516dc35f9644f72c1c465bc9e018c551f8861b06

Observation 05f8f192-844d-4190-b760-8003e39a9c4f · outbound

This paper cites Neural kernel surface re- construction.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Neural kernel surface re- construction

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation ad1f87bb-69d1-4822-b952-c80dc1ffe84d · outbound

This paper cites Neural wavelet-domain diffusion for 3d shape generation.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Neural wavelet-domain diffusion for 3d shape generation

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.632670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation e22eeeb5-31ee-491b-a6e2-5c133525eee4 · outbound

This paper cites A general frame- work to boost 3d gs initialization for text-to-3d generation by lexical richness.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion A general frame- work to boost 3d gs initialization for text-to-3d generation by lexical richness

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.622791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:54:46.634243Z digest=sha256:ab7dcd70f7d514a07ad39b862a7167bb6bd94e7e1ba2d4cbb589e144463eecff

Observation c032b509-04f7-4fd7-ba82-607d7ce0a009 · outbound

This paper cites Eslam: Efficient dense slam system based on hybrid representation of signed distance fields.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Eslam: Efficient dense slam system based on hybrid representation of signed distance fields

Reference 23

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raw_fallback, observed 2026-08-06T19:54:47.613187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:54:46.638079Z digest=sha256:b316285b50106f413169d3791b44d9762eceb770f3cbd246b8c9b63fa0a4bfde

Observation 7c271299-62cf-4a23-bfa6-06912bcc9cfc · outbound

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

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion 3d gaussian splatting for real-time radiance field rendering

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.641736Z digest=sha256:9a7348f99eeec76afe1159aefcae45302650cd45302bc0d3a4c87e8a9a8c9e72

Observation 802a889f-4b0a-42a6-87f0-a29b24d0972b · outbound

This paper cites NuiScene: Exploring Efficient Generation of Unbounded Outdoor Scenes.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion NuiScene: Exploring Efficient Generation of Unbounded Outdoor Scenes

Reference 25

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no resolver link, observed 2026-08-06T19:54:46.645119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.645119Z digest=sha256:dfd63c25d9335c160c9e2c1d2173bf05d93f2277a2106208a1aa28c710029f7d

Observation 57a50da9-5284-4185-b27b-2dd83b6257fa · outbound

This paper cites Ground- ing image matching in 3d with mast3r.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Ground- ing image matching in 3d with mast3r

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.596683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:54:46.648555Z digest=sha256:895ccc022801c1f308b985fc1d10783c0a3f9f29091c0c723167d0547bddc778

Observation 63d8a6ae-9446-4e55-8435-68ba111e4fb7 · outbound

This paper cites SyntheOcc: Synthesize Geometric-Controlled Street View Images through 3D Semantic MPIs.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion SyntheOcc: Synthesize Geometric-Controlled Street View Images through 3D Semantic MPIs

Reference 27

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.651951Z digest=sha256:11683449a114f1f3115dfc9ac1f8fba921fe5550df411a2c11de01c9f2aa426b

Observation a1636139-5be1-4a3b-9e8b-ace8168178ab · outbound

This paper cites CrossViewDiff: A Cross-View Diffusion Model for Satellite-to-Street View Synthesis.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion CrossViewDiff: A Cross-View Diffusion Model for Satellite-to-Street View Synthesis

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T19:54:46.655466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.655466Z digest=sha256:c098107671d687d83cb5c56c9c017a5c58cc44471c0cfd2edb7aea382fe7ac5e

Observation 5db7aa7d-5fe7-4ee1-aa89-1837b07014b9 · outbound

This paper cites Sat2vid: Street-view panoramic video synthesis from a single satellite image.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Sat2vid: Street-view panoramic video synthesis from a single satellite image

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.586727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:54:46.658706Z digest=sha256:122d00467b2f7dd12f6f21a31f562406c2be59abc6ddb905941206a152ec86fb

Observation 18c476ac-9a89-4717-8ad9-5349c40bb8f1 · outbound

This paper cites Sat2scene: 3d urban scene genera- tion from satellite images with diffusion.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Sat2scene: 3d urban scene genera- tion from satellite images with diffusion

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.577217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:54:46.662137Z digest=sha256:2fb24fd220a396985611e3013b6c5148d20d7c3d57d07ecf924d8d7d2e0bbe35

Observation 74d2ece3-f830-4e78-8270-3bc07cd94572 · outbound

This paper cites Infinicity: Infinite-scale city synthesis.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Infinicity: Infinite-scale city synthesis

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.567789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:54:46.665363Z digest=sha256:fc481fcd2e79705ebab4fd3cfd1551b022615948ceb9c5e5b6f2a8b60053b8cd

Observation ae2b7049-ebce-460c-8575-27ba6e91a84c · outbound

This paper cites WorldCraft: Photo-Realistic 3D World Creation and Customization via LLM Agents.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion WorldCraft: Photo-Realistic 3D World Creation and Customization via LLM Agents

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T19:54:46.668571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.668571Z digest=sha256:55778d1c1885b83c9c76cc354a0fbd4ee92ff3ad5396ad4576f303205b5fee41

Observation 28cb0b5e-ffd1-4c17-a7ae-f23f3e20f0db · outbound

This paper cites Urban Architect: Steerable 3D Urban Scene Generation with Layout Prior.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Urban Architect: Steerable 3D Urban Scene Generation with Layout Prior

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T19:54:46.672627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.672627Z digest=sha256:3e159ad0180a3b00326566c356e8f782fb9aa1187f83b265643f98ab30f52c01

Observation 1fd59185-2ea6-40da-a285-09f1e3210dc8 · outbound

This paper cites Geometry-aware satellite- to-ground image synthesis for urban areas.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Geometry-aware satellite- to-ground image synthesis for urban areas

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.558298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:54:46.676351Z digest=sha256:0da085039d10c920e8badc477fbb4f52713088a2eac74d0b092e77ab6c09ca90

Observation 48d92671-0b36-40a4-8568-9915846aeff9 · outbound

This paper cites InfiniCube: Unbounded and Controllable Dynamic 3D Driving Scene Generation with World-Guided Video Models.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion InfiniCube: Unbounded and Controllable Dynamic 3D Driving Scene Generation with World-Guided Video Models

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.680126Z digest=sha256:d781fdb37ce62e3b881f7fc6187b77e1920f2e1d3484655c84f37dfae1f9529a

Observation 2e9bfbaf-22bc-4c22-b9b5-ebd561c67518 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view syn- thesis.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Nerf: Representing scenes as neural radiance fields for view syn- thesis

Reference 36

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source=pdf_text observed=2026-08-06T19:54:46.684137Z digest=sha256:aa711b4cf503e4b6c166af6fe242c7ab5f00df9d095247e95813998fa19f0083

Observation f3192b49-7a00-420e-b6cc-08281651bba6 · outbound

This paper cites DreamFusion: Text-to-3D using 2D Diffusion.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion DreamFusion: Text-to-3D using 2D Diffusion

Reference 37

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.687326Z digest=sha256:28fb10da1eae627df14a59ba8da6442ff906a94231db3120254df6f9e4616648

Observation e0939573-91b0-4da0-882d-12d0c1cfc5c2 · outbound

This paper cites Sat2density: Faithful density learning from satellite-ground image pairs.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Sat2density: Faithful density learning from satellite-ground image pairs

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.543208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:54:46.692079Z digest=sha256:efcddb2b8a5673aa9ac01e6e144cd1f161439d63d504d00323678123f3e1ed48

Observation 3a2395dd-1864-45ee-9d67-b4b9d778a025 · outbound

This paper cites Xcube: Large-scale 3d generative modeling using sparse voxel hierarchies.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Xcube: Large-scale 3d generative modeling using sparse voxel hierarchies

Reference 39

Resolution
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raw_fallback, observed 2026-08-06T19:54:47.534173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:54:46.696102Z digest=sha256:4aa3340d12f9cd3bfe35b7cd0878f3e89629d90c1e3be11f547e4f38d328ce91

Observation e2190ea3-1b8a-4faf-ac59-fac18f650499 · outbound

This paper cites SCube: Instant Large-Scale Scene Reconstruction using VoxSplats.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion SCube: Instant Large-Scale Scene Reconstruction using VoxSplats

Reference 40

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.699314Z digest=sha256:9181195a73f6c090fed428613783e0e41c8b58e36fd60654e980d4b0cc1cf428

Observation e9ca4cb8-d7bf-4340-9571-96b838ca1e0b · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion High-resolution image synthesis with latent diffusion models

Reference 41

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.702627Z digest=sha256:d46808b630c9a888def52d70cc65ccfaa733ded9cf70ddf1a08b2db0ca595040

Observation 93c0e0d1-ffad-46fb-a52e-39f0cc522d89 · outbound

This paper cites Progressive Distillation for Fast Sampling of Diffusion Models.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Progressive Distillation for Fast Sampling of Diffusion Models

Reference 42

Resolution
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no resolver link, observed 2026-08-06T19:54:46.705922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.705922Z digest=sha256:225172aa77809beff9d6690d968def7c31de10048eebe6ae43b5a8ce28789970

Observation 5ac22220-e357-4388-9e8d-3aa7719db379 · outbound

This paper cites UrbanWorld: An Urban World Model for 3D City Generation.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion UrbanWorld: An Urban World Model for 3D City Generation

Reference 43

Resolution
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no resolver link, observed 2026-08-06T19:54:46.709422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.709422Z digest=sha256:44fef3cbbb9859a6233a1e6f4e88b334bbe01a8564bd464b0136ba26d8e79211

Observation 376d4bf1-baac-4e4c-9219-36f9bea4a5c5 · outbound

This paper cites Geometry-guided street-view panorama synthesis from satellite imagery.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Geometry-guided street-view panorama synthesis from satellite imagery

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.517478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:54:46.712710Z digest=sha256:137c17f31be100bf3e62f178b2142661cdf95fce682422a9692fea0fcb760dfc

Observation 028de158-75fd-43f2-990a-c04ccc7d1e7c · outbound

This paper cites 3d neural field generation using triplane diffusion.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion 3d neural field generation using triplane diffusion

Reference 45

Resolution
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no resolver link, observed 2026-08-06T19:54:46.715704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.715704Z digest=sha256:f674200454501c02898172509cbc94a39d36e7bac04e09f4e5b29e1a3cc4f115

Observation c0c96617-a058-4724-820b-d85ac0cbd6f6 · outbound

This paper cites Meshgpt: Generating triangle meshes with decoder-only transformers.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Meshgpt: Generating triangle meshes with decoder-only transformers

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.499978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:54:46.718872Z digest=sha256:c3401b377cc7a9a2615a13a2f91ae9484c601a185ff8eea708cd1cac66f5b9f4

Observation cc2ce367-e74b-4c77-b5de-165da9c18df7 · outbound

This paper cites Denoising Diffusion Implicit Models.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Denoising Diffusion Implicit Models

Reference 47

Resolution
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no resolver link, observed 2026-08-06T19:54:46.722038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.722038Z digest=sha256:fc533af6616cb0bea1483a57afebc65216855d1dd51063c5fe3aaa07afb4a379

Observation 8bc80ae3-da23-4b72-ba6c-89d9a0ef9d5d · outbound

This paper cites Direct voxel grid optimization: Super-fast convergence for radiance fields reconstruction.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Direct voxel grid optimization: Super-fast convergence for radiance fields reconstruction

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.490152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:54:46.725371Z digest=sha256:a3b3a257fae38e2f3e032161446599b3db225f45b6f55557085521a98e9efcb6

Observation be5469fe-3a20-4099-9b3c-b46dd3469602 · outbound

This paper cites EdgeRunner: Auto-regressive Auto-encoder for Artistic Mesh Generation.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion EdgeRunner: Auto-regressive Auto-encoder for Artistic Mesh Generation

Reference 49

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.728406Z digest=sha256:c312cce763b105a117c56bc0a666af839a7bc2057f6d36dea099278e8d293adc

Observation 606b30c3-8e69-44f9-89ac-d6ed9f536380 · outbound

This paper cites Cloudcompare (version 2.12.4) [gpl software], 2025.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Cloudcompare (version 2.12.4) [gpl software], 2025

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.478943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:54:46.731952Z digest=sha256:0bf26aecd0e101aadc4c529febb753821e27f0f4bc37d694e1342f7cf1500cc8

Observation c69bfb02-64ca-47cb-801b-37922ef51d4d · outbound

This paper cites Co- slam: Joint coordinate and sparse parametric encodings for neural real-time slam.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Co- slam: Joint coordinate and sparse parametric encodings for neural real-time slam

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.467767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:54:46.735405Z digest=sha256:26824c348b523758ae9357183a1ba5fa72a6d13a1f18803398f355028cf67cf1

Observation 09e0b838-d792-4b85-85df-a39a71eaa3df · outbound

This paper cites LLaMA-Mesh: Unifying 3D Mesh Generation with Language Models.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion LLaMA-Mesh: Unifying 3D Mesh Generation with Language Models

Reference 52

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.738568Z digest=sha256:5fbfd3d1ed54164a91ae051cc489811e2126ac0ef48562676693a6ac7da43ac5

Observation a798ae32-e79c-4902-8285-9902e96d0bd5 · outbound

This paper cites PivotMesh: Generic 3D Mesh Generation via Pivot Vertices Guidance.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion PivotMesh: Generic 3D Mesh Generation via Pivot Vertices Guidance

Reference 53

Resolution
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no resolver link, observed 2026-08-06T19:54:46.742247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.742247Z digest=sha256:de71f7b2f5355a8b204e7d9a799ac40325ed807f7deb77dbfcc80ce108515d40

Observation 98cb752d-1a5f-40f7-9f7e-28e9a34cc093 · outbound

This paper cites Blockfusion: Expandable 3d scene gen- eration using latent tri-plane extrapolation.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Blockfusion: Expandable 3d scene gen- eration using latent tri-plane extrapolation

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.458016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:54:46.746723Z digest=sha256:8c798ac7a8245bd11f24f1deb65cce29f2c1e2889452a13693f93c17d7fd43bc

Observation 71a6c7d4-59a0-4d9f-8302-ba737b2882ca · outbound

This paper cites Citydreamer: Compositional generative model of unbounded 3d cities.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Citydreamer: Compositional generative model of unbounded 3d cities

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.448168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:54:46.750045Z digest=sha256:ba178391be3691152d9e12a4458e36d73da4c44ea3efabd97eefc0ee76bcb96f

Observation 190572ef-eccb-48a5-b62a-42f9e9380a16 · outbound

This paper cites Generative Gaussian Splatting for Unbounded 3D City Generation.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Generative Gaussian Splatting for Unbounded 3D City Generation

Reference 56

Resolution
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no resolver link, observed 2026-08-06T19:54:46.753843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.753843Z digest=sha256:a2cc79a8ed0e068e233192e2fd89f553e50f487b41c915af97d9f786e8bd7579

Observation 1e2ac75a-5b5e-4934-91ff-2d2051b571e7 · outbound

This paper cites GAMUS: A Geometry-aware Multi-modal Semantic Segmentation Benchmark for Remote Sensing Data.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion GAMUS: A Geometry-aware Multi-modal Semantic Segmentation Benchmark for Remote Sensing Data

Reference 57

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.757386Z digest=sha256:bf54f6ff600a1870954faf9d49621b00e6fd0e4b82ad712d5517a986036a815f

Observation 9f03c743-923f-4fe9-9f48-842017a84810 · outbound

This paper cites InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models

Reference 58

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.761453Z digest=sha256:ea3591e9320193689fcd0ade84e2fd04978d3c03fbb57e0e044186b1b4546133

Observation 84a6d004-a615-43ee-b695-fbd6336d1fe9 · outbound

This paper cites Geospecific view generation – geometry-context aware high-resolution ground view infer- ence from satellite views, 2024.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Geospecific view generation – geometry-context aware high-resolution ground view infer- ence from satellite views, 2024

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.439014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:54:46.765804Z digest=sha256:12d3fbf414954bcf38c76bf25d785fa56e84589530a9b9f992e6a67fbb6432e4

Observation 35f3a40d-99d5-4fd8-85eb-0aab739b1885 · outbound

This paper cites Sketch2scene: Au- tomatic generation of interactive 3d game scenes from user’s casual sketches.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Sketch2scene: Au- tomatic generation of interactive 3d game scenes from user’s casual sketches

Reference 60

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.769310Z digest=sha256:e9ef88cc98e54ab31e302b802e6156d25cbe05b5367930732334324b40309689

Observation 40aa05d1-37eb-41b2-8a0f-1c70e0972f51 · outbound

This paper cites Pointflow: 3d point cloud generation with continuous normalizing flows.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Pointflow: 3d point cloud generation with continuous normalizing flows

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.429725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:54:46.772663Z digest=sha256:c36f7f06f307757dfaa144c1e3a567e7c08737f198fd6fb592c6883a993bf998

Observation 1a646613-5bd9-458f-b7af-69fda3ff767e · outbound

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

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Depth anything: Unleashing the power of large-scale unlabeled data

Reference 62

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.776055Z digest=sha256:8de73a8e8940d0dd62164bf419f148930657f149e6bee755af8fe6285a27baef

Observation 25886f58-f9e8-48d1-8180-625ceb81050b · outbound

This paper cites Procedu- ral generation of 3d scenes for urban landscape based on remote sensing images.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Procedu- ral generation of 3d scenes for urban landscape based on remote sensing images

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.412654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:54:46.779384Z digest=sha256:0b02dfbed771135168ac8b25cf442b18092c3b34085df5ceec47a3582aca3f3e

Observation b7f7ea92-112e-4498-b2cc-f61e6e87de59 · outbound

This paper cites Urbangiraffe: Representing urban scenes as compositional generative neural feature fields.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Urbangiraffe: Representing urban scenes as compositional generative neural feature fields

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.402320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:54:46.782456Z digest=sha256:4f268072ed43ca1de7a6672d19dc9cbe6c71f5c0fc9e2954af7c357863883ae1

Observation aafca464-638e-4c09-9619-905c921a6e1b · outbound

This paper cites Scene123: One Prompt to 3D Scene Generation via Video-Assisted and Consistency-Enhanced MAE.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Scene123: One Prompt to 3D Scene Generation via Video-Assisted and Consistency-Enhanced MAE

Reference 65

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.785719Z digest=sha256:624b672b1e476aaf56403f47108b0d9d84630de62597c878bb12377fafafdde8

Observation 233a4be4-ebd0-4189-8790-d4a43f537054 · outbound

This paper cites DreamScape: 3D Scene Creation via Gaussian Splatting joint Correlation Modeling.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion DreamScape: 3D Scene Creation via Gaussian Splatting joint Correlation Modeling

Reference 66

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no resolver link, observed 2026-08-06T19:54:46.789523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.789523Z digest=sha256:c68656ff00a8c857915b839ae42de0e747e46566d557bf7212d459996aad339b

Observation 9a71fe81-8372-4608-ab81-be14962b0d30 · outbound

This paper cites LaGeM: A Large Geometry Model for 3D Representation Learning and Diffusion.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion LaGeM: A Large Geometry Model for 3D Representation Learning and Diffusion

Reference 67

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.793669Z digest=sha256:09b1336a98837e328baa7de07e6ba90fd5d6090e5aabb8623b586d772d7625a0

Observation d320460e-9f23-4ca0-9c25-dfb097c67690 · outbound

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

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion 3dshape2vecset: A 3d shape representation for neu- ral fields and generative diffusion models.ACM Transactions on Graphics (TOG), 42(4):1–16, 2023

Reference 68

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.797404Z digest=sha256:9615d32bdc51853bd1d444f792d2ea31056bd111835fff3f2e4f09b7c4abf79a

Observation b7eb0292-1f21-4774-961a-6b700b307649 · outbound

This paper cites Clay: A controllable large-scale generative model for creat- ing high-quality 3d assets.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Clay: A controllable large-scale generative model for creat- ing high-quality 3d assets

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.385354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:54:46.801616Z digest=sha256:3778bd15de8725e3e40b2a49bc247ef38576ea236ba756e54d99936e8c6d470d

Observation b3ad98f0-56d2-485e-b0cc-0c1b98c43edb · outbound

This paper cites 3d- scenedreamer: Text-driven 3d-consistent scene generation.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion 3d- scenedreamer: Text-driven 3d-consistent scene generation

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.374692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 7d9f2b51-e7d8-4d2a-954e-2e0e678ca334 · outbound

This paper cites CityX: Controllable Procedural Content Generation for Unbounded 3D Cities.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion CityX: Controllable Procedural Content Generation for Unbounded 3D Cities

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-06T19:54:46.808553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.808553Z digest=sha256:bc4e697cfa1e71eb00271deb7d6de687ff81f019fbe3ba50509f009671ff12ce

Observation 3142f1ca-3e34-40a6-bee0-390339a6789b · outbound

This paper cites SceneX: Procedural Controllable Large-scale Scene Generation.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion SceneX: Procedural Controllable Large-scale Scene Generation

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-06T19:54:46.811868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 72ac433f-eb9d-4c9b-850c-d54370b703c9 · outbound

This paper cites GALA3D: Towards Text-to-3D Complex Scene Generation via Layout-guided Generative Gaussian Splatting.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion GALA3D: Towards Text-to-3D Complex Scene Generation via Layout-guided Generative Gaussian Splatting

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-06T19:54:46.815361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:46.815361Z digest=sha256:4b60ff978d13cce13f1f94003edc898537fba58c0782496ec8457f56222eed1f

Observation 3724df5c-652f-443d-8bab-645395ccb541 · outbound

This paper cites Nice-slam: Neural implicit scalable encoding for slam.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Nice-slam: Neural implicit scalable encoding for slam

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.365085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:54:46.818744Z digest=sha256:e745b418b925055c92293eef80eeede59c38dc67b750b230f27bc54189f4e94c

Observation 9bbba867-d5c6-473c-b61d-d2dbb878cc8d · outbound

This paper cites Implementation Details Our method is primarily implemented based on the sparse 3D structure provided by XCube [39] and the surface fit- ting network from NKSR [20].

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Implementation Details Our method is primarily implemented based on the sparse 3D structure provided by XCube [39] and the surface fit- ting network from NKSR [20]

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.355497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:54:46.822106Z digest=sha256:a4b73cfb842443f12b2ee72918d5710be8b1f7f759d725bd76f0a059a9a980b5

Observation 4263cf17-79d5-4582-8987-a3acc6aea887 · outbound

This paper cites an unresolved cited work.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Unresolved cited work

Reference 76

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:54:47.345767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 426f961b-f6ac-46df-9dd4-e80665d6c30a · outbound

This paper cites Very Poor.

Sat2City: 3D City Generation from A Single Satellite Image with Cascaded Latent Diffusion Very Poor

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:47.336356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Pith citing papers

No inbound Pith citation observations are available.