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Paper Citation Record · LEDGER

ROICtrl: Boosting Instance Control for Visual Generation

As of 14 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 2 inbound Pith citation observations for arXiv:2411.17949.

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

pith.paper-citation-record.v1
2411.17949 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:44:39.970120Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:12:08.846411Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T12:59:30.025058Z

Reference resolution

51 of 51 outbound references displayed

  • verified exact0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8ed0b0f9-74fa-4ea2-8cd7-490de869e356 · outbound

This paper cites GPT-4 Technical Report.

ROICtrl: Boosting Instance Control for Visual Generation GPT-4 Technical Report

Reference 1

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Unavailable: canonical work link unavailable.

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Observation b2ddeb2d-b559-4e71-830e-f5dc048f7edd · outbound

This paper cites Improving image generation with better captions.

ROICtrl: Boosting Instance Control for Visual Generation Improving image generation with better captions

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation e6c5b706-1313-4f46-800d-584d5dca3b4c · outbound

This paper cites Attend-and-excite: Attention-based se- mantic guidance for text-to-image diffusion models.

ROICtrl: Boosting Instance Control for Visual Generation Attend-and-excite: Attention-based se- mantic guidance for text-to-image diffusion models

Reference 3

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Observation 851dafb2-ceb0-48dc-9956-dc052a780c3a · outbound

This paper cites Videocrafter2: Overcoming data limitations for high-quality video diffu- sion models.

ROICtrl: Boosting Instance Control for Visual Generation Videocrafter2: Overcoming data limitations for high-quality video diffu- sion models

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 84b61950-ceea-4c69-8b75-7ba265f3ba47 · outbound

This paper cites Training-free layout control with cross-attention guidance.

ROICtrl: Boosting Instance Control for Visual Generation Training-free layout control with cross-attention guidance

Reference 5

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Observation 2d0db3c4-c9ad-4ef5-9ae1-ac5df4a1982a · outbound

This paper cites Yolo-world: Real-time open-vocabulary object detection.

ROICtrl: Boosting Instance Control for Visual Generation Yolo-world: Real-time open-vocabulary object detection

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 1e5b3a67-1b87-4b0f-aac9-5059b746a541 · outbound

This paper cites Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack.

ROICtrl: Boosting Instance Control for Visual Generation Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack

Reference 7

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Observation c9908465-4520-42e3-aa2e-532d8ecbad80 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

ROICtrl: Boosting Instance Control for Visual Generation Imagenet: A large-scale hierarchical image database

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 4b7a1933-0c08-465e-801e-036ba6507a78 · outbound

This paper cites Scaling recti- fied flow transformers for high-resolution image synthesis.

ROICtrl: Boosting Instance Control for Visual Generation Scaling recti- fied flow transformers for high-resolution image synthesis

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation d53494ca-a47f-4212-ade4-35c0e9993e56 · outbound

This paper cites Muffin or chihuahua? challenging multimodal large lan- guage models with multipanel vqa.

ROICtrl: Boosting Instance Control for Visual Generation Muffin or chihuahua? challenging multimodal large lan- guage models with multipanel vqa

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation bcff9687-cceb-4d5d-bd88-d0102325d492 · outbound

This paper cites Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis.

ROICtrl: Boosting Instance Control for Visual Generation Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis

Reference 11

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Observation 2fcd9b07-2722-400d-b46c-affdf110ea49 · outbound

This paper cites Ranni: Taming text-to-image diffu- sion for accurate instruction following.

ROICtrl: Boosting Instance Control for Visual Generation Ranni: Taming text-to-image diffu- sion for accurate instruction following

Reference 12

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raw_fallback, observed 2026-08-12T11:44:40.271212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation fcd1968c-67b0-4456-bd70-fd12bf6b028d · outbound

This paper cites Emu Video: Factorizing Text-to-Video Generation by Explicit Image Conditioning.

ROICtrl: Boosting Instance Control for Visual Generation Emu Video: Factorizing Text-to-Video Generation by Explicit Image Conditioning

Reference 13

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Unavailable: canonical work link unavailable.

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Observation 1cf908cd-288a-4322-bd07-5791109738d7 · outbound

This paper cites Mix-of-show: Decentralized low- rank adaptation for multi-concept customization of diffusion models.

ROICtrl: Boosting Instance Control for Visual Generation Mix-of-show: Decentralized low- rank adaptation for multi-concept customization of diffusion models

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation c1fa88ad-dc96-43a3-96cc-409d02f60efc · outbound

This paper cites Videoswap: Customized video subject swapping with interactive semantic point cor- respondence.

ROICtrl: Boosting Instance Control for Visual Generation Videoswap: Customized video subject swapping with interactive semantic point cor- respondence

Reference 15

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raw_fallback, observed 2026-08-12T11:44:40.256262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 52766ff4-f3a1-43fe-8a8c-b0b347fef4c6 · outbound

This paper cites Deep residual learning for image recognition.

ROICtrl: Boosting Instance Control for Visual Generation Deep residual learning for image recognition

Reference 16

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Observation df9e580e-a19d-42e0-a117-43ea94d75065 · outbound

This paper cites Mask r-cnn.

ROICtrl: Boosting Instance Control for Visual Generation Mask r-cnn

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation dd944c4d-09f1-45c3-8f06-eb97d99dcb92 · outbound

This paper cites Localized Text-to-Image Generation for Free via Cross Attention Control.

ROICtrl: Boosting Instance Control for Visual Generation Localized Text-to-Image Generation for Free via Cross Attention Control

Reference 18

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Observation 09c2bb89-bfc2-4e25-8fac-e9a227f08b69 · outbound

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

ROICtrl: Boosting Instance Control for Visual Generation Prompt-to-Prompt Image Editing with Cross Attention Control

Reference 19

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Source-reported events for the cited work

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Observation f43f950e-b6be-44af-af7f-5e59d8447c3a · outbound

This paper cites Imagen Video: High Definition Video Generation with Diffusion Models.

ROICtrl: Boosting Instance Control for Visual Generation Imagen Video: High Definition Video Generation with Diffusion Models

Reference 20

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Observation 838d0802-96f1-40dc-811b-738fce188ea4 · outbound

This paper cites YOLO by Ultralytics, 2023.

ROICtrl: Boosting Instance Control for Visual Generation YOLO by Ultralytics, 2023

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 6d1f8a2f-e672-4060-b7b2-9e3a5dddd19c · outbound

This paper cites Dense text-to-image generation with attention modulation.

ROICtrl: Boosting Instance Control for Visual Generation Dense text-to-image generation with attention modulation

Reference 22

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raw_fallback, observed 2026-08-12T11:44:40.230729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 43e4dcc1-edd1-4963-93f4-1470f3921633 · outbound

This paper cites Imagenet classification with deep convolutional neural net- works.

ROICtrl: Boosting Instance Control for Visual Generation Imagenet classification with deep convolutional neural net- works

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation b52e1405-0603-4e60-9bce-29320f710cc7 · outbound

This paper cites Gligen: Open-set grounded text-to-image generation.

ROICtrl: Boosting Instance Control for Visual Generation Gligen: Open-set grounded text-to-image generation

Reference 24

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation fdc41500-fa0c-44a7-85e6-271f7231b0c1 · outbound

This paper cites Microsoft coco: Common objects in context.

ROICtrl: Boosting Instance Control for Visual Generation Microsoft coco: Common objects in context

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 5b238b27-e0ca-4d72-bf8e-94a64a066fa8 · outbound

This paper cites Feature pyra- mid networks for object detection.

ROICtrl: Boosting Instance Control for Visual Generation Feature pyra- mid networks for object detection

Reference 26

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Observation d9ad8a63-0963-4f7e-a84b-4f6740035c19 · outbound

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

ROICtrl: Boosting Instance Control for Visual Generation Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 27

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Observation a280c165-d517-4690-b33d-02548f16a97c · outbound

This paper cites T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models.

ROICtrl: Boosting Instance Control for Visual Generation T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models

Reference 28

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raw_fallback, observed 2026-08-12T11:44:40.195238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation edaa496d-e7e6-40fe-8b6a-608f0701c0c3 · outbound

This paper cites Compositional Text-to-Image Generation with Dense Blob Representations.

ROICtrl: Boosting Instance Control for Visual Generation Compositional Text-to-Image Generation with Dense Blob Representations

Reference 29

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Unavailable: canonical work link unavailable.

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Observation d167d0ec-e031-4481-aab0-71da1980ceea · outbound

This paper cites Pytorch: An im- perative style, high-performance deep learning library.

ROICtrl: Boosting Instance Control for Visual Generation Pytorch: An im- perative style, high-performance deep learning library

Reference 30

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Observation adef5937-f617-4ca3-ba99-3ce143cc5544 · outbound

This paper cites Scalable diffusion models with transformers.

ROICtrl: Boosting Instance Control for Visual Generation Scalable diffusion models with transformers

Reference 31

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Observation 529065ab-aacb-4fef-b99f-6ced8417291a · outbound

This paper cites Grounded text-to-image synthesis with attention refocusing.

ROICtrl: Boosting Instance Control for Visual Generation Grounded text-to-image synthesis with attention refocusing

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:44:39.910169Z digest=sha256:2ad9e59d67546f24364485ef902284cacdafbc65685a4f844cd99c213d2d5ff0

Observation 4d56004f-e653-40b7-9101-170aa0171cf7 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

ROICtrl: Boosting Instance Control for Visual Generation Learning transferable visual models from natural language supervi- sion

Reference 33

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Unavailable: canonical work link unavailable.

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Observation 4b58470b-0921-425f-b288-d9326620d27b · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks.

ROICtrl: Boosting Instance Control for Visual Generation Faster r-cnn: Towards real-time object detection with region proposal networks

Reference 34

Resolution
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raw_fallback, observed 2026-08-12T11:44:40.171457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 1e68f177-65aa-4148-8cc6-77b258fed556 · outbound

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

ROICtrl: Boosting Instance Control for Visual Generation High-resolution image synthesis with latent diffusion models

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:44:39.925145Z digest=sha256:7abb39452a502368bff9db05bff79707a0f7c453821a77f36381c1ba0e69caaf

Observation 9b2a81b7-a36a-4bef-9d32-8fedb86dcf64 · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.

ROICtrl: Boosting Instance Control for Visual Generation Photorealistic text-to-image diffusion models with deep language understanding

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:44:39.927896Z digest=sha256:b5509a7719fe86eb098be1c81158ddeeac749294fb4410c270a3d199aad3acfe

Observation bdce4b3b-f0b4-4472-9d6f-72c9a1ae8956 · outbound

This paper cites Denoising Diffusion Implicit Models.

ROICtrl: Boosting Instance Control for Visual Generation Denoising Diffusion Implicit Models

Reference 37

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source=pdf_text observed=2026-08-12T11:44:39.930757Z digest=sha256:d9e1f39f416f283d4c1461e6d959cb1367f8c028f97d587baedc4818995343ff

Observation 48421942-bc02-45cc-8656-ff92a0c3010e · outbound

This paper cites Anti-dreambooth: Pro- tecting users from personalized text-to-image synthesis.

ROICtrl: Boosting Instance Control for Visual Generation Anti-dreambooth: Pro- tecting users from personalized text-to-image synthesis

Reference 38

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verified fuzzy
raw_fallback, observed 2026-08-12T11:44:40.156343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T11:44:39.934671Z digest=sha256:ccc28247ec2b0993292a2bd4b3d45606092fde7a3c23959aa518890df299e3fb

Observation 044f671b-d9a3-40e3-8bbe-846afe223d89 · outbound

This paper cites Boximator: Generating Rich and Controllable Motions for Video Synthesis.

ROICtrl: Boosting Instance Control for Visual Generation Boximator: Generating Rich and Controllable Motions for Video Synthesis

Reference 39

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source=pdf_text observed=2026-08-12T11:44:39.937255Z digest=sha256:4f1680abfb143631644e87447200454f8ab06b2178288fc07f80eb0423fce03a

Observation d929fd78-ac00-4821-bd14-83e558a38b76 · outbound

This paper cites Instancediffusion: Instance- level control for image generation.

ROICtrl: Boosting Instance Control for Visual Generation Instancediffusion: Instance- level control for image generation

Reference 40

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verified fuzzy
raw_fallback, observed 2026-08-12T11:44:40.147958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T11:44:39.940086Z digest=sha256:a9ee5d4569c738950f3db9baf65c2ccbf0e0dc44eafbc2f706cc504243a520ae

Observation bbbe3d1c-9741-4d7d-adb8-107d42e4de6a · outbound

This paper cites Motionctrl: A unified and flexible motion controller for video generation.

ROICtrl: Boosting Instance Control for Visual Generation Motionctrl: A unified and flexible motion controller for video generation

Reference 41

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:44:39.943105Z digest=sha256:ef19dac293c95ec3d5355e3e7d5599b3632802ebef903ca56b42bd7df334f119

Observation c200696b-e6be-4b25-a3c5-6388612b3f5f · outbound

This paper cites Tune-a-video: One-shot tuning of image diffusion models for text-to-video generation.

ROICtrl: Boosting Instance Control for Visual Generation Tune-a-video: One-shot tuning of image diffusion models for text-to-video generation

Reference 42

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:44:39.946045Z digest=sha256:419fad27d57c4e9c200350d59bdc274d4af3b5bbec2c5df3bd0bd52c65945d94

Observation 38f49aad-8a76-4e96-94dd-60137fed4901 · outbound

This paper cites Boxdiff: Text-to-image synthesis with training-free box-constrained 10 diffusion.

ROICtrl: Boosting Instance Control for Visual Generation Boxdiff: Text-to-image synthesis with training-free box-constrained 10 diffusion

Reference 43

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verified fuzzy
raw_fallback, observed 2026-08-12T11:44:40.132398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T11:44:39.948391Z digest=sha256:ad99ecae6be477a138544537043adaa08e7ee2b36ddc72d6fe458702ebb0f93f

Observation f3b20bd4-ab32-4388-97d8-7ebe683bca94 · outbound

This paper cites MiniCPM-V: A GPT-4V Level MLLM on Your Phone.

ROICtrl: Boosting Instance Control for Visual Generation MiniCPM-V: A GPT-4V Level MLLM on Your Phone

Reference 44

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:44:39.950709Z digest=sha256:1b9eddbcb19003b197fd4dcf411b55e3ebcbd9a364bfb87a895198944942876a

Observation c3a4c1df-4176-468d-b1a6-b8eb35f9c433 · outbound

This paper cites IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models.

ROICtrl: Boosting Instance Control for Visual Generation IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 45

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no resolver link, observed 2026-08-12T11:44:39.953600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:44:39.953600Z digest=sha256:8f050c2ad09b7b74d1be6f54b266b595a401182de9bae93eaf6fa4565ee1878d

Observation 42e96123-5358-45b8-aaf7-ac1b66b67895 · outbound

This paper cites Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation.

ROICtrl: Boosting Instance Control for Visual Generation Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation

Reference 46

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-12T11:44:39.956359Z digest=sha256:20acfe4002ab27652adab26a8363f408eaa8601b43ef9adfde3e0e0bee908518

Observation b2c90084-be1f-4ff8-9c87-2516b91cf69e · outbound

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

ROICtrl: Boosting Instance Control for Visual Generation Adding conditional control to text-to-image diffusion models

Reference 47

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verified fuzzy
raw_fallback, observed 2026-08-12T11:44:40.125104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T11:44:39.958974Z digest=sha256:36c0929f7f079cfcce6efd080b1129dcf2733b876f8ae9b59e316336e2aa3f98

Observation 4b6b6ab8-a74b-4115-ad90-3940336bd967 · outbound

This paper cites Migc: Multi-instance generation controller for text-to-image synthesis.

ROICtrl: Boosting Instance Control for Visual Generation Migc: Multi-instance generation controller for text-to-image synthesis

Reference 48

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verified fuzzy
raw_fallback, observed 2026-08-12T11:44:40.116329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T11:44:39.961410Z digest=sha256:78b5b07c68dff3e5472b25dd483bed8f10dd0ebd151ba63129e484e6b6365284

Observation 88023092-63c0-4bc3-bf08-9f18255a7c2f · outbound

This paper cites ROICtrl-Bench ROICtrl-Bench contains 200 samples, divided into groups {1, 2, 3, 4, 5, 6-10, 11-15, 16-20, 21-25, 26-30} based on in- stance counts.

ROICtrl: Boosting Instance Control for Visual Generation ROICtrl-Bench ROICtrl-Bench contains 200 samples, divided into groups {1, 2, 3, 4, 5, 6-10, 11-15, 16-20, 21-25, 26-30} based on in- stance counts

Reference 49

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verified fuzzy
raw_fallback, observed 2026-08-12T11:44:40.108163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T11:44:39.964137Z digest=sha256:d001234c9700bc6ca665298f916192e49075ef8d374239b7b7afffc4b2f33c0a

Observation cfdf1843-be14-4b69-8bda-d644d5cd0308 · outbound

This paper cites Qualitative Comparison We have demonstrated the qualitative comparison on ROICtrl-Bench in Sec.

ROICtrl: Boosting Instance Control for Visual Generation Qualitative Comparison We have demonstrated the qualitative comparison on ROICtrl-Bench in Sec

Reference 50

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verified fuzzy
raw_fallback, observed 2026-08-12T11:44:40.098895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T11:44:39.967288Z digest=sha256:e15c0e1f34aca2586639e2574a373abd15c266aacb37f53e716132f8a34c8848

Observation 333cdfc2-c753-4f33-9e54-b41b616a4a21 · outbound

This paper cites Limitation Analysis The attribution leakage problem is largely addressed in ROICtrl, as we prioritize using instance captions in the learnable blending process.

ROICtrl: Boosting Instance Control for Visual Generation Limitation Analysis The attribution leakage problem is largely addressed in ROICtrl, as we prioritize using instance captions in the learnable blending process

Reference 51

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verified fuzzy
raw_fallback, observed 2026-08-12T11:44:40.090237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T11:44:39.970120Z digest=sha256:6d10f5ecd3a4db18fb9814fefb1c9a2b8ddc860d61da4a06db02d0ca31c73cc5

Pith citing papers

Observation 9356d9de-e9d4-44bb-bcb6-f78c65570da9 · inbound

AnimeShooter: A Multi-Shot Animation Dataset for Reference-Guided Video Generation cites this paper.

AnimeShooter: A Multi-Shot Animation Dataset for Reference-Guided Video Generation ROICtrl: Boosting Instance Control for Visual Generation

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:12:08.846411Z digest=sha256:e923d9af60cb32f8ffa49f77017a0f1895103fc9a18c715ba7101962c1bae707

Observation 5c2e205b-e87c-40e3-9c53-5841b17e5d89 · inbound

FICGen: Frequency-Inspired Contextual Disentanglement for Layout-driven Degraded Image Generation cites this paper.

FICGen: Frequency-Inspired Contextual Disentanglement for Layout-driven Degraded Image Generation ROICtrl: Boosting Instance Control for Visual Generation

Reference 9

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verified exact
local_arxiv, observed 2026-08-05T12:59:30.135334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T12:59:22.466003Z digest=sha256:f64989f5dab8c374f8d0a8074cf2cdb3b415f05c87901868561537ddeea8b19b