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Paper Citation Record · LEDGER

UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation

As of 7 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 1 inbound Pith citation observation for arXiv:2507.02713.

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

pith.paper-citation-record.v1
2507.02713 v2

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:26:37.951818Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-01T06:58:15.910837Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T08:55:35.719491Z

Reference resolution

34 of 34 outbound references displayed

  • verified exact2
  • verified fuzzy7
  • unresolved24
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

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Outbound references

Observation 18a8a7e8-d58f-436a-829a-374dee2eb931 · outbound

This paper cites Layer Normalization.

UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation Layer Normalization

Reference 1

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source=pdf_text observed=2026-08-06T20:26:37.829974Z digest=sha256:63b94deccbad9a5a4a1d4b224bb3a320bfa43f407118c91d301dbe55dbc448b1

Observation 0ce664aa-8222-4bee-a01d-41e488039fde · outbound

This paper cites YOLO-World: Real-Time Open-Vocabulary Object Detection.

UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation YOLO-World: Real-Time Open-Vocabulary Object Detection

Reference 5

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source=pdf_text observed=2026-08-06T20:26:37.846808Z digest=sha256:286620f60a4c4b1132517354ddaeadf12694aa92198b2840863feba0fc9e635b

Observation 4a86b7fb-5a21-456b-b4c0-e8a9e72225e8 · outbound

This paper cites Other works (Esser et al., 2024; Chen et al., 2023; OpenAI, 2024a; Gao et al., 2024; Li et al., 2024b; Xie et al., 2023; Nair et al.,.

UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation Other works (Esser et al., 2024; Chen et al., 2023; OpenAI, 2024a; Gao et al., 2024; Li et al., 2024b; Xie et al., 2023; Nair et al.,

Reference 6

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:26:37.930053Z digest=sha256:7237c802595493688a34b55adfee821c7cc7e07bf8f48df27897842b163560a5

Observation 4459dfd4-ebc3-4b8e-a686-1c3c4491139d · outbound

This paper cites Orange kittenwith bright blue eyes on rocky ground.

UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation Orange kittenwith bright blue eyes on rocky ground

Reference 8

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raw_fallback, observed 2026-08-06T20:26:38.285944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:26:37.951818Z digest=sha256:8664e6f635287e25ee1f79a9d4e33f1aba7d152189e45fd938e4e8e9caa8c5bf

Observation c21c29c2-f788-422c-9333-00e92ba0796d · outbound

This paper cites Prompt-to-Prompt Image Editing with Cross Attention Control.

UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation Prompt-to-Prompt Image Editing with Cross Attention Control

Reference 9

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source=pdf_text observed=2026-08-06T20:26:37.861949Z digest=sha256:b39f9c00ee12ac7f2380f4863b579ba05680b0989dc2b14dcb029d67c6307c7e

Observation 50d7046c-663c-4008-9ad5-29b874c4478b · outbound

This paper cites RTMPose: Real-Time Multi-Person Pose Estimation based on MMPose.

UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation RTMPose: Real-Time Multi-Person Pose Estimation based on MMPose

Reference 11

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source=pdf_text observed=2026-08-06T20:26:37.868943Z digest=sha256:9085cac277e908013cb71dacffeff62b872ced7d75054c3fd058da073bf43585

Observation 01613cf8-1f4b-4777-9245-2199ba8b590b · outbound

This paper cites Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding.

UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding

Reference 13

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source=pdf_text observed=2026-08-06T20:26:37.875779Z digest=sha256:fdc3c015164847df3af76d972c9207b5a7b186f9122e265aaaea3bc35acba199

Observation 7215d8bd-8432-4be5-a886-136d3118ed11 · outbound

This paper cites FiT: Flexible Vision Transformer for Diffusion Model.

UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation FiT: Flexible Vision Transformer for Diffusion Model

Reference 15

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source=pdf_text observed=2026-08-06T20:26:37.882309Z digest=sha256:823791d0ca2f4a9ad424dd5685e06b0f5c1b4c9821306f8dd3b125ef199c3d65

Observation 8b242ca2-ef67-4c57-a9a8-d9dda2a33e65 · outbound

This paper cites SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers.

UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers

Reference 16

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source=pdf_text observed=2026-08-06T20:26:37.885766Z digest=sha256:2b70a972d45966916a828acfb3324770b59993cb59b2b09a0865e1c0e9bb3ac0

Observation d997714a-58dc-400b-a68f-f60983debfc6 · outbound

This paper cites Diffscaler: Enhancing the Generative Prowess of Diffusion Transformers.

UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation Diffscaler: Enhancing the Generative Prowess of Diffusion Transformers

Reference 17

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local_arxiv, observed 2026-08-06T20:26:38.080385Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:26:37.889061Z digest=sha256:94b7d8402ee627d7baa58d6f016ff3238b3e9065ab878b5e002da5153dc4207a

Observation e46863c8-3d73-4bb5-90f9-27a220622298 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 18

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source=pdf_text observed=2026-08-06T20:26:37.893082Z digest=sha256:fbc70928e38f4fc7e0a8643e616c1cadbda8ea862820cb08ca7fb776117600f1

Observation 34055887-880b-46fb-bc8a-0a98c08cd7dc · outbound

This paper cites U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers.

UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers

Reference 20

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source=pdf_text observed=2026-08-06T20:26:37.899687Z digest=sha256:7e65ed169621137b8e598af2250aa9cdcc14946730f9b456d477bcd15daec7fb

Observation 4c00fb91-bada-4d3b-8495-fda0d80c9b88 · outbound

This paper cites Plug- and-play diffusion features for text-driven image-to- image translation.

UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation Plug- and-play diffusion features for text-driven image-to- image translation

Reference 21

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source=pdf_text observed=2026-08-06T20:26:37.903085Z digest=sha256:25d5185476459ad028817ff49ef5d5ecbd1786784165967971ca254a4c142ec7

Observation 546da1e9-c8f0-4b9f-8677-79a3345d2600 · outbound

This paper cites CogVLM: Visual Expert for Pretrained Language Models.

UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation CogVLM: Visual Expert for Pretrained Language Models

Reference 22

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source=pdf_text observed=2026-08-06T20:26:37.906594Z digest=sha256:d865ad47dac59ec78a2ba189c11754f9fc294356a4d500f1919411a264d39bf3

Observation a97ff1bb-d775-4d86-b0e4-feeb561fb681 · outbound

This paper cites InstanceDiffusion: Instance-level Control for Image Generation.

UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation InstanceDiffusion: Instance-level Control for Image Generation

Reference 23

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source=pdf_text observed=2026-08-06T20:26:37.910026Z digest=sha256:dc8d18631556b58da10f1498b082721228a9145d3128bf87f71900d0348d7c47

Observation 1ef55050-4ddb-493d-af15-66ccca64d5a0 · outbound

This paper cites MagicPose4D: Crafting Articulated Models with Appearance and Motion Control.

UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation MagicPose4D: Crafting Articulated Models with Appearance and Motion Control

Reference 24

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source=pdf_text observed=2026-08-06T20:26:37.913412Z digest=sha256:4de051883fe818207047f465ce5581b2cfd3e813905637b4b493cb2150730c95

Observation 076047ce-e063-4916-ae4b-eb62f3a7ba30 · outbound

This paper cites MIGC: Multi-Instance Generation Controller for Text-to-Image Synthesis.

UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation MIGC: Multi-Instance Generation Controller for Text-to-Image Synthesis

Reference 25

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local_arxiv, observed 2026-08-06T20:26:37.990345Z

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source=pdf_text observed=2026-08-06T20:26:37.916573Z digest=sha256:4c98269eef2c192825a71368abb701a89a70a159e9f3cf6e803bb13937c490f7

Observation 6a3e5616-3fab-43f9-84b3-eaaf67b1dc47 · outbound

This paper cites Dataset A.1.

UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation Dataset A.1

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:26:37.920187Z digest=sha256:94a7d4fea5e65db3779fc7b81d451ef3a20dc4d1309559022e5928c3a13a1ba3

Observation 5744c3c2-3163-4b75-af18-0695f3ca3986 · outbound

This paper cites an unresolved cited work.

UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation Unresolved cited work

Reference 27

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:26:37.923599Z digest=sha256:84d88a35b56073d7d2241dd88299a3c5d7739f1ea4b897580685e15dcd7c60ee

Observation 53db4ca1-4d6f-46f0-8937-f1de40e25cdb · outbound

This paper cites an unresolved cited work.

UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation Unresolved cited work

Reference 28

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source=pdf_text observed=2026-08-06T20:26:37.926726Z digest=sha256:50c4648bc6225c0a1e008f027b5b45a398943906c06343ba2779cfcaa358eabf

Observation a793e732-afa4-499e-b52b-adaf3782c812 · outbound

This paper cites In this work, we use PIXART-α as our backbone, which is a variant of DiT (Peebles & Xie, 2023).

UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation In this work, we use PIXART-α as our backbone, which is a variant of DiT (Peebles & Xie, 2023)

Reference 30

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source=pdf_text observed=2026-08-06T20:26:37.933292Z digest=sha256:5a64c4a804c423546ec9d30357f1204ba65e9a1e9e7d58c54130115b41ea1ba7

Observation 2d81187c-e584-48ed-bdca-80089b5f3f4c · outbound

This paper cites During the sampling process, the model can transform Gaussian noise of normal distribution to real samples step-by-step.

UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation During the sampling process, the model can transform Gaussian noise of normal distribution to real samples step-by-step

Reference 31

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:26:37.937078Z digest=sha256:b96ce1f8d435d6f1ac09b49c3162c5766cf9922fb0ab5d5d29a8020307807c8e

Observation 8fb12fa2-5987-4aef-a44b-4a71474f2a56 · outbound

This paper cites Latent Diffusion Model & PIXART-α.

UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation Latent Diffusion Model & PIXART-α

Reference 32

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source=pdf_text observed=2026-08-06T20:26:37.941904Z digest=sha256:80797bd7091ebe57d5d58890efdc46a9550d5251b2f25549faa9390c7d1d41d0

Observation a77f4d82-7611-4f2b-b617-79222886e324 · outbound

This paper cites At the inference stage, we can reconstruct the generated image through the decoder ˆx = D(ˆz).

UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation At the inference stage, we can reconstruct the generated image through the decoder ˆx = D(ˆz)

Reference 33

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:26:37.947189Z digest=sha256:e1b2d9b4e6ec862882f3e650c6ad92e80b3a22bbb7b08468db8d491341f5c01a

Observation be50e2ba-d19a-4114-aa3d-92c320cc81b9 · outbound

This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 2014

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source=pdf_text observed=2026-08-06T20:26:37.879007Z digest=sha256:d5a58742c19f630a32ff5518192729ac037ffeae3e32d978f4807f98f8e02c24

Observation b0b1cdd5-10a6-46bd-92b0-d2a793596c66 · outbound

This paper cites SyDog: A Synthetic Dog Dataset for Improved 2D Pose Estimation.

UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation SyDog: A Synthetic Dog Dataset for Improved 2D Pose Estimation

Reference 2015

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source=pdf_text observed=2026-08-06T20:26:37.896114Z digest=sha256:7212a55e7070f73df9931719ea95ab8591694c0415f4b489f3719582d553d728

Observation 66b5de23-ce72-49b8-9087-f6d3de5844cc · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 2016

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source=pdf_text observed=2026-08-06T20:26:37.835389Z digest=sha256:0d947bb6c17906b390c90ffaba4502b90b1969ef140ce8da5d4fe163e0e6782f

Observation 1c6e5d5b-eb49-4408-9bf2-6a90c31c6534 · outbound

This paper cites PixArt-\Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation.

UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation PixArt-\Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation

Reference 2017

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source=pdf_text observed=2026-08-06T20:26:37.842944Z digest=sha256:75ef87e874095c6faadf974fee2d48895d37a8851d663dcfe607a63a8639cab3

Observation 1e9c2a99-12d5-4a3d-ba4f-936d9f692126 · outbound

This paper cites DiffiT: Diffusion Vision Transformers for Image Generation.

UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation DiffiT: Diffusion Vision Transformers for Image Generation

Reference 2018

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source=pdf_text observed=2026-08-06T20:26:37.858456Z digest=sha256:038236f53d50945b25743628e4ee990df6918c8d295b6182abea4d09aaff793a

Observation 16d69922-5558-45b9-be06-f30d5f5af92e · outbound

This paper cites Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation.

UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation

Reference 2020

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T20:26:37.865492Z digest=sha256:10aafb12fcf304fef9c1ec84f35da031321fbf7e8c63f282480ff8f453ca9a83

Observation 826e5b75-7a8c-4d47-9523-abc80896f559 · outbound

This paper cites Scaling Rectified Flow Transformers for High-Resolution Image Synthesis.

UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation Scaling Rectified Flow Transformers for High-Resolution Image Synthesis

Reference 2021

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source=pdf_text observed=2026-08-06T20:26:37.850431Z digest=sha256:78555b81789aa6f9f8f4a7a4d483b55b88db1c3417c592da229a0ea7fe89b890

Observation 507a892c-920f-4d4f-8c5d-79a184db2557 · outbound

This paper cites Lumina-T2X: Transforming Text into Any Modality, Resolution, and Duration via Flow-based Large Diffusion Transformers.

UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation Lumina-T2X: Transforming Text into Any Modality, Resolution, and Duration via Flow-based Large Diffusion Transformers

Reference 2022

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source=pdf_text observed=2026-08-06T20:26:37.854469Z digest=sha256:7cf8a3a7ab9fba51610d3c57795feb5c67bb9877a8a33b78924ed96036390134

Observation aff6a9c9-759d-4e83-9fbd-d7349d8a2396 · outbound

This paper cites Demystifying MMD GANs.

UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation Demystifying MMD GANs

Reference 2023

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source=pdf_text observed=2026-08-06T20:26:37.839095Z digest=sha256:02b3053c2f30c1f1c16295f3d0235eda4733c642edf27901c6e324eb5b875d39

Observation c8e0e912-55f9-409c-8f16-dbe75a0f90cf · outbound

This paper cites CosmicMan: A Text-to-Image Foundation Model for Humans.

UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation CosmicMan: A Text-to-Image Foundation Model for Humans

Reference 2024

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metadata mismatch
local_arxiv, observed 2026-08-06T20:26:38.150909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:26:37.872458Z digest=sha256:f83da304772d2bb7422deab0863778ec864d6f9fc27e4a9b28d3b99ceb1a41c0

Pith citing papers

Observation 19d9ffe3-fda1-4681-b56d-7aa338b5475f · inbound

TerraDiT-$\Omega$: Unified Spatial Control for Satellite Image Synthesis with Any Geospatial Primitive cites this paper.

TerraDiT-$\Omega$: Unified Spatial Control for Satellite Image Synthesis with Any Geospatial Primitive UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-07-01T08:55:35.721118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T06:58:15.910837Z digest=sha256:fe792f750d738a6713740dd1898dff769eda6aa9851b4c9b7a8bdf5bcba6c33a