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Paper Citation Record · LEDGER

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model

As of 13 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 1 inbound Pith citation observation for arXiv:2411.15580.

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

pith.paper-citation-record.v1
2411.15580 v3

Coverage vector

measured 66 of 66 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:11:24.993427Z

measured 67 of 67 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T03:36:14.179585Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T12:26:11.440722Z

Reference resolution

66 of 66 outbound references displayed

  • verified exact3
  • verified fuzzy29
  • unresolved32
  • parse uncertain0
  • malformed identifier2
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 637304cb-7b61-4d14-920d-9816dcc04331 · outbound

This paper cites The Crystal Ball Hypothesis in diffusion models: Anticipating object positions from initial noise.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model The Crystal Ball Hypothesis in diffusion models: Anticipating object positions from initial noise

Reference 1

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:11:24.690077Z digest=sha256:93b8623f7d88b76e528d1cf832f8f9fe03d561e767322eeaf63266476b01132b

Observation 09e42b92-e863-40d7-bc84-f20683cb4a2b · outbound

This paper cites Multidiffusion: Fusing diffusion paths for controlled image generation, 2023.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model Multidiffusion: Fusing diffusion paths for controlled image generation, 2023

Reference 2

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:11:24.695522Z digest=sha256:c4d10049742109e730264e89fc8fa5a89d7f3047aa8cf0489ed40c92b11e351b

Observation c390814a-55a3-4290-81cb-877706bfd85e · outbound

This paper cites Onegan: Simultaneous unsuper- vised learning of conditional image generation, foreground segmentation, and fine-grained clustering.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model Onegan: Simultaneous unsuper- vised learning of conditional image generation, foreground segmentation, and fine-grained clustering

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:11:24.700242Z digest=sha256:5f88e405908a9a859e6d3998253543504f997cc1d9a7d67f0e88d24e5689e71d

Observation a2ca2fd9-31f1-47f1-8f65-8fdb7ce566e8 · outbound

This paper cites In- structpix2pix: Learning to follow image editing instructions.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model In- structpix2pix: Learning to follow image editing instructions

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:11:24.705453Z digest=sha256:9d44052568c27bb9925c52cb1b50f41bb87d45906e80afe1ee2e7cc9d96a5e5a

Observation 92ceac97-914b-4364-9708-a2215a23044a · outbound

This paper cites Magick: A large-scale captioned dataset from matting generated images using chroma keying.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model Magick: A large-scale captioned dataset from matting generated images using chroma keying

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:11:24.710740Z digest=sha256:424dc52a36e9918385ee99031fd9134d7ca766e7f32d65fa887c65380ae27f05

Observation a75e8dda-1021-4835-b125-4d5d30870738 · outbound

This paper cites Masactrl: Tuning-free mu- tual self-attention control for consistent image synthesis and editing.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model Masactrl: Tuning-free mu- tual self-attention control for consistent image synthesis and editing

Reference 6

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source=pdf_text observed=2026-08-12T14:11:24.714971Z digest=sha256:8488b6889152ce735efe0fb4c94c4131736184016ce525e4998417d70148c5d8

Observation 615d49d3-b5fe-43b6-b16a-86856f7e59f2 · outbound

This paper cites Lay- outdm: Transformer-based diffusion model for layout gener- ation.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model Lay- outdm: Transformer-based diffusion model for layout gener- ation

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:11:24.720977Z digest=sha256:b3a52e02e5bf45763bac18918d1b1d98663bd3090c3f37e801bc15b3ee8d8a8a

Observation 5be22809-ada0-48da-9746-0b1147f91a2d · outbound

This paper cites Attend-and-excite: Attention-based se- mantic guidance for text-to-image diffusion models.ACM Transactions on Graphics (TOG), 42(4):1–10, 2023.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model Attend-and-excite: Attention-based se- mantic guidance for text-to-image diffusion models.ACM Transactions on Graphics (TOG), 42(4):1–10, 2023

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:11:24.724969Z digest=sha256:5d2ed4d471a83407445a256e2fa16d3f78a8cb3d8567122d98aa14e13048086c

Observation e6163a1a-41c8-4b43-9b37-8710d65e7762 · outbound

This paper cites Anyscene: Customized image synthesis with composited foreground.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model Anyscene: Customized image synthesis with composited foreground

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:11:24.729097Z digest=sha256:40507617ac210edc000e7839908e09192afce43fd9b1abd874b88e39fa263fe5

Observation 7a764b02-d78b-4058-9e6e-9558ffe8f3df · outbound

This paper cites Improving Diffusion Models for Authentic Virtual Try-on in the Wild.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model Improving Diffusion Models for Authentic Virtual Try-on in the Wild

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:11:24.733672Z digest=sha256:0c7cc2025f1282f015eb0a173fc9e07b796862e79dc14ac862461e61c080159d

Observation 96dca83e-58fe-4217-8287-b13a491be455 · outbound

This paper cites LayerFusion: Harmonized Multi-Layer Text-to-Image Generation with Generative Priors.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model LayerFusion: Harmonized Multi-Layer Text-to-Image Generation with Generative Priors

Reference 11

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source=pdf_text observed=2026-08-12T14:11:24.738318Z digest=sha256:95aa6bec2f0a98db3c98f625e5f6d0eb01646ff3685322095d95ed81cd3b9b25

Observation 1a986965-05fa-47e8-8d05-a840c974dfdb · outbound

This paper cites Diffusion mod- els beat gans on image synthesis.NeurIPS, 34:8780–8794,.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model Diffusion mod- els beat gans on image synthesis.NeurIPS, 34:8780–8794,

Reference 12

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source=pdf_text observed=2026-08-12T14:11:24.744567Z digest=sha256:04061a2e2acf0d4e1eb4e57b86d07d9ecb7b3949bfca4e3851dbaeb27be7bdb7

Observation fc4bdd3d-bb53-4dd9-9fef-f416a533b023 · outbound

This paper cites ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization

Reference 13

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source=pdf_text observed=2026-08-12T14:11:24.749991Z digest=sha256:71722d8e37e244ad39ef373320f57aade3bdbfc7c33afb27e8f5a4a1a6dcb914

Observation 708adebf-e57f-4f65-b197-2e7381fd5548 · outbound

This paper cites Initno: Boosting text-to-image diffu- sion models via initial noise optimization.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model Initno: Boosting text-to-image diffu- sion models via initial noise optimization

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:11:24.754529Z digest=sha256:4453fdf25319671a1ba978743aba18c97a46137faf18cf12c6e314a13609980d

Observation 87d42fe2-ff68-4a61-ba8d-af26add202f5 · outbound

This paper cites AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning

Reference 15

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source=pdf_text observed=2026-08-12T14:11:24.759285Z digest=sha256:2af106312d78721f8402ed90a73892df12ccd35061bb0214c36f760a11b0fc4e

Observation 8dcea5ed-05e4-4e26-901b-c9e3d9c553c6 · outbound

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

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model Prompt-to-Prompt Image Editing with Cross Attention Control

Reference 16

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Observation 6d21bf6e-5cf2-4b86-9c45-cdab03e1e740 · outbound

This paper cites CLIPScore: A Reference-free Evaluation Metric for Image Captioning.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model CLIPScore: A Reference-free Evaluation Metric for Image Captioning

Reference 17

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Observation c3c29a8d-e9f6-4817-ad0f-a1b5263e65ec · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.NeurIPS, 30, 2017.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model Gans trained by a two time-scale update rule converge to a local nash equilib- rium.NeurIPS, 30, 2017

Reference 18

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source=pdf_text observed=2026-08-12T14:11:24.775257Z digest=sha256:4e8e73c9408a6133885b481d02c9d392b736ce902d77d9fe610c31021c0cd0c3

Observation 6b6e9744-bcfc-4e2d-9997-219a331d801f · outbound

This paper cites Classifier-Free Diffusion Guidance.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model Classifier-Free Diffusion Guidance

Reference 19

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source=pdf_text observed=2026-08-12T14:11:24.780459Z digest=sha256:8338d8716f5cffeaa30dac8f0631e722bb6674853c675ff8c655c73e7c7f6ea1

Observation 8d263190-ff85-47a3-8809-ed6517080d99 · outbound

This paper cites Denoising dif- fusion probabilistic models.NeurIPS, 33:6840–6851, 2020.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model Denoising dif- fusion probabilistic models.NeurIPS, 33:6840–6851, 2020

Reference 20

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source=pdf_text observed=2026-08-12T14:11:24.785227Z digest=sha256:d17349f03f23643718b89cb17de1c3b446e7099d5454f0fc071439040446e876

Observation dde10a7d-44e1-4c0e-8a82-2d2f2b14c316 · outbound

This paper cites Make-an-audio: Text-to-audio generation with prompt-enhanced diffusion models.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model Make-an-audio: Text-to-audio generation with prompt-enhanced diffusion models

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:11:24.789610Z digest=sha256:f50813291ff8f46b33177f9b06b18b0ab882c25649ad8aeb50891dd5723189c7

Observation 4a474fd7-daa1-4c85-a8ee-1099182ab60e · outbound

This paper cites Layerdiff: Exploring text-guided multi-layered composable image synthesis via layer-collaborative diffu- sion model.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model Layerdiff: Exploring text-guided multi-layered composable image synthesis via layer-collaborative diffu- sion model

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:11:24.793453Z digest=sha256:bbe6ba41ea3908a2e0e965cce1d5aa20195398403aa9d859ff3954c009ff1597

Observation ba11cc34-76ec-4047-9d77-dae7cf079a95 · outbound

This paper cites Layoutdm: Discrete diffusion model for controllable layout generation.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model Layoutdm: Discrete diffusion model for controllable layout generation

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:11:24.797286Z digest=sha256:0c3a4a9fd2aec94c236e3186831878531809d5e761074cb62d737c5d9630eaee

Observation 06d4f2f5-adb2-4571-b611-e88ae2edd6ac · outbound

This paper cites DiffWave: A Versatile Diffusion Model for Audio Synthesis.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model DiffWave: A Versatile Diffusion Model for Audio Synthesis

Reference 24

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source=pdf_text observed=2026-08-12T14:11:24.801323Z digest=sha256:b181be3671d12af8bcb3b5f5a7a30a06762bcfe9ea53958f0b543b60ea9d4a5a

Observation f4016fed-a474-4877-8621-182cc321a488 · outbound

This paper cites Flow Matching for Generative Modeling.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model Flow Matching for Generative Modeling

Reference 25

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:11:24.805261Z digest=sha256:f0730597c992e2087a0707ae81ecea9b0f43a98fd93e6bb84001436698b174d6

Observation d63defe3-37b3-4137-ac68-978464d837f2 · outbound

This paper cites Repaint: Inpainting using denoising diffusion probabilistic models.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model Repaint: Inpainting using denoising diffusion probabilistic models

Reference 26

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:11:24.809781Z digest=sha256:8897346c5ae5279f1ddc4fd4c546f5b14a40943d43c194c1869c1fdcf726fc28

Observation edb876a6-2e88-434f-942b-e6baf148cfeb · outbound

This paper cites Guided Image Synthesis via Initial Image Editing in Diffusion Model.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model Guided Image Synthesis via Initial Image Editing in Diffusion Model

Reference 27

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local_arxiv, observed 2026-08-12T14:11:25.252448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:11:24.814467Z digest=sha256:caa73c994bef909b7809d3d76830c7f7eb2931b4fec19c3c2195acfc015d8bc6

Observation bd4a56e8-3735-4334-94b0-e738f7153050 · outbound

This paper cites The Lottery Ticket Hypothesis in Denoising: Towards Semantic-Driven Initialization.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model The Lottery Ticket Hypothesis in Denoising: Towards Semantic-Driven Initialization

Reference 28

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source=pdf_text observed=2026-08-12T14:11:24.819137Z digest=sha256:801a8b19f31f25e91635190bee2c5de7b3c20752fa452cc34c3021018eb55aa5

Observation 56ff8494-294e-44f0-a4ba-756b1a923188 · outbound

This paper cites SDEdit: Guided image synthesis and editing with stochastic differential equa- tions.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model SDEdit: Guided image synthesis and editing with stochastic differential equa- tions

Reference 29

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raw_fallback, observed 2026-08-12T14:11:25.751041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:11:24.825042Z digest=sha256:16e9d75b301eebb2b8c74e2b71927efe9c741096e79b985ceb976c09d9929e82

Observation d388abd9-9683-4cf1-81ee-5c1cfbf465a0 · outbound

This paper cites Interactive image manipulation with complex text instruc- tions.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model Interactive image manipulation with complex text instruc- tions

Reference 30

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raw_fallback, observed 2026-08-12T14:11:25.735187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:11:24.829450Z digest=sha256:d4e9333f12b3012e34310c5c07507112c7d330a5a61268d07a71ec33d336f56a

Observation 9aec2c22-e13c-437b-981c-6f83df7b4647 · outbound

This paper cites Batinet: Background-aware text to image synthesis and manipulation network.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model Batinet: Background-aware text to image synthesis and manipulation network

Reference 31

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raw_fallback, observed 2026-08-12T14:11:25.719554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:11:24.833640Z digest=sha256:037a1ea66771e1da83687282a78ebd7e18e293e7a1f6f39151184bd5476a05b8

Observation 5818096a-3e57-4323-9fb2-b4e5f9312cbf · outbound

This paper cites Dynamic Attention-Guided Diffusion for Image Super-Resolution.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model Dynamic Attention-Guided Diffusion for Image Super-Resolution

Reference 32

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local_arxiv, observed 2026-08-12T14:11:25.214550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:11:24.837616Z digest=sha256:d8df65a21e7e33a0b1692ca7b0734e749ed746003242a44e6d20757be5602a43

Observation 8101be19-72d1-49c7-a945-9e6b76f30fa7 · outbound

This paper cites Diffusion models, image super-resolution, and everything: A survey.IEEE Transactions on Neural Networks and Learn- ing Systems, 2024.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model Diffusion models, image super-resolution, and everything: A survey.IEEE Transactions on Neural Networks and Learn- ing Systems, 2024

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:11:24.842160Z digest=sha256:f58e0c0db11f85e0aec523ac9ecdb87b4a9850a082b3e1b714946d9fae6f4f58

Observation 5b6379d9-4b22-4221-bc4f-3bb766014355 · outbound

This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 34

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:11:24.847172Z digest=sha256:deae430fc05f7609b04216ae17b01fdbd4c50f1e7df78f123507425e6676e48a

Observation 123ed4d4-ae39-4868-a875-46bfed1080a6 · outbound

This paper cites Improved denoising diffusion probabilistic models.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model Improved denoising diffusion probabilistic models

Reference 35

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raw_fallback, observed 2026-08-12T14:11:25.691070Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:11:24.851397Z digest=sha256:ed8cc2c28007159fe119075a0ebd340d105c9758a99f5dd6e84a4eb75d610fcb

Observation e47a0889-9dda-470b-8665-ae5c1cf7347a · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 36

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:11:24.855216Z digest=sha256:7892109a542988c3dd22966404162a2792542f01f50e6570cbb1a7af603856b4

Observation cc24551b-554b-489a-af6c-adb8df874392 · outbound

This paper cites Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:11:24.859481Z digest=sha256:440a79a4740d02e387187006e5a25c7229a903fb10135c90e81c1f786dbdff6d

Observation 5a4a247d-479d-4d0b-b688-717c72519805 · outbound

This paper cites Alfie: Democratising rgba image generation with no $$$.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model Alfie: Democratising rgba image generation with no $$$

Reference 38

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verified fuzzy
raw_fallback, observed 2026-08-12T14:11:25.675981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:11:24.865250Z digest=sha256:a45ea0ce47bacb515ff5d0db163fad7f592447af94afe7aa7e579a1b91733bd2

Observation a9e1d88c-d1a0-4b83-8133-a5db8fc33ddb · outbound

This paper cites Zero-shot text-to-image generation.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model Zero-shot text-to-image generation

Reference 39

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no resolver link, observed 2026-08-12T14:11:24.870248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:11:24.870248Z digest=sha256:a4ba09b84ec76e0428c1d64cbe00b6cb32440a1e727437f50e0b3bffb2f0fc59

Observation 7692220e-27c1-43c9-aeb5-4bc6f70784a5 · outbound

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

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model High-resolution image syn- thesis with latent diffusion models

Reference 40

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raw_fallback, observed 2026-08-12T14:11:25.652081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:11:24.874282Z digest=sha256:697a79c50ddafb02d2eb0574007fdc9d73d8923b024f2e649938ccfcf5e7de61

Observation f143a8cd-d597-4851-9355-c6ad31bd0e19 · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.NeurIPS, 35:36479–36494, 2022.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model Photorealistic text-to-image diffusion models with deep language understanding.NeurIPS, 35:36479–36494, 2022

Reference 41

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raw_fallback, observed 2026-08-12T14:11:25.636180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:11:24.879589Z digest=sha256:3e64e324b9667323cd15356fbc59655ec53dd134bc5699fbb1868dd301932f7c

Observation 1cc6f4fa-4ede-40cb-a027-591b254e422e · outbound

This paper cites Image super- resolution via iterative refinement.IEEE TPAMI, 45(4): 4713–4726, 2022.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model Image super- resolution via iterative refinement.IEEE TPAMI, 45(4): 4713–4726, 2022

Reference 42

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raw_fallback, observed 2026-08-12T14:11:25.619779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:11:24.883728Z digest=sha256:c0bf2251a35d9d721167c4958abfa17f752a44f64f8af5a66f8d1d6bce54dff8

Observation c730885c-2c58-4b76-8c28-e33859416929 · outbound

This paper cites Norm-guided latent space exploration for text-to-image generation.NeurIPS, 36, 2024.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model Norm-guided latent space exploration for text-to-image generation.NeurIPS, 36, 2024

Reference 43

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raw_fallback, observed 2026-08-12T14:11:25.604378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:11:24.887519Z digest=sha256:9228ee1b6fbf4b8af278758f043ecd3e229ef3e736058a5cf5f6b4f555e81a37

Observation 1c84449f-2950-415b-b5a3-dcedc382c491 · outbound

This paper cites Generating images of rare concepts using pre- trained diffusion models.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model Generating images of rare concepts using pre- trained diffusion models

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:11:25.589368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:11:24.893101Z digest=sha256:3435251e1f4c9381098170ec7de83a12a4a63fb9d6bca3250356ca50f7395baf

Observation 78696b39-4463-425c-8d9a-360828dfbed9 · outbound

This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models.Advances in Neural In- formation Processing Systems, 35:25278–25294, 2022.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model Laion-5b: An open large-scale dataset for training next generation image-text models.Advances in Neural In- formation Processing Systems, 35:25278–25294, 2022

Reference 45

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raw_fallback, observed 2026-08-12T14:11:25.575339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:11:24.897409Z digest=sha256:0737ce95ccc2b29e3ef31f5019c589e3a1f2969d83ab0f6bc563c99d0f325ff8

Observation 32014e18-b77f-4080-8dac-bef4b22a6d22 · outbound

This paper cites Noisecollage: A layout-aware text-to-image diffusion model based on noise cropping and merging.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model Noisecollage: A layout-aware text-to-image diffusion model based on noise cropping and merging

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:11:25.559607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:11:24.901270Z digest=sha256:5aae909061279c7d8f7083e5f78b57198e961b199d3d212f4bd9074926ef6e56

Observation 2bafadf8-8e24-4c28-b819-55b9d1229f3a · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model Deep unsupervised learning using nonequilibrium thermodynamics

Reference 47

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no resolver link, observed 2026-08-12T14:11:24.905233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:11:24.905233Z digest=sha256:3a8b7b460b2c375c5a3d4a5a98daa59b371a82318799a40a4bf0299afbb089f6

Observation b56e50a9-a93b-4394-b4a4-a17ac131d3e6 · outbound

This paper cites Denoising Diffusion Implicit Models.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model Denoising Diffusion Implicit Models

Reference 48

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no resolver link, observed 2026-08-12T14:11:24.910416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:11:24.910416Z digest=sha256:d304c28fb245752cfe1bb07a011bead9e6b4ed9772ede39b9efc78a4e9c18a73

Observation 05b1b292-b9ab-478a-b6bf-5593c1971ee9 · outbound

This paper cites Consistency Models.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model Consistency Models

Reference 49

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:11:24.914655Z digest=sha256:66bcb7005243f48c9b9271e14cf78aa9803f552e6710fa39d930dfefe203ed7c

Observation 740269a7-d3af-4839-b26f-005aa2a1a28b · outbound

This paper cites Explaining the sdxl latent space.https : / / huggingface.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model Explaining the sdxl latent space.https : / / huggingface

Reference 50

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verified fuzzy
raw_fallback, observed 2026-08-12T14:11:25.535012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:11:24.920244Z digest=sha256:cac8ce90cc7372cd2603133517626a7fd5c75433b1ead211b1fc577213eca22d

Observation 666839ec-daf2-4d51-97d7-a33490cf5721 · outbound

This paper cites SV3D: Novel Multi-view Synthesis and 3D Generation from a Single Image using Latent Video Diffusion.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model SV3D: Novel Multi-view Synthesis and 3D Generation from a Single Image using Latent Video Diffusion

Reference 51

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no resolver link, observed 2026-08-12T14:11:24.924547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:11:24.924547Z digest=sha256:e31d3b4f6734356b97dd91adecff67dada4c6a8c796e68825dc1a1470707516b

Observation 5482e3d7-2871-400f-bd29-28071ad87ba4 · outbound

This paper cites Sketch-guided text-to-image diffusion models.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model Sketch-guided text-to-image diffusion models

Reference 52

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:11:24.929371Z digest=sha256:6ec8a6c2e77abf3298f68113af3724a399320de4d87902a345ee34206930cd56

Observation 70dfed0b-7cb1-49b3-83db-6d2b8497b138 · outbound

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

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model Tune-a-video: One-shot tuning of image diffusion models for text-to-video generation

Reference 53

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:11:24.933879Z digest=sha256:a2af4a324cf9d4d62a88d2f0ce5016f8b26253ea2d4bd50bf87b5da52e16f177

Observation 2230154e-c857-486a-9a35-122eac14ef7e · outbound

This paper cites Good Seed Makes a Good Crop: Discovering Secret Seeds in Text-to-Image Diffusion Models.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model Good Seed Makes a Good Crop: Discovering Secret Seeds in Text-to-Image Diffusion Models

Reference 54

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no resolver link, observed 2026-08-12T14:11:24.938523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:11:24.938523Z digest=sha256:929dec98cafbbf49146c7ffacec84c97515181d6db79d2ee089a428e1e29bd63

Observation 3ffef8e9-ffdf-446e-89ae-f3759f1a9739 · outbound

This paper cites OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on

Reference 55

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no resolver link, observed 2026-08-12T14:11:24.942908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:11:24.942908Z digest=sha256:6979f288de05ebda65edf747e5419566e32c6f267bc7f14a45bdf6985cefa7e9

Observation f5802607-60bb-4f9a-818c-118769ce1031 · outbound

This paper cites Paint by example: Exemplar-based image editing with diffusion mod- els.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model Paint by example: Exemplar-based image editing with diffusion mod- els

Reference 56

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verified fuzzy
raw_fallback, observed 2026-08-12T14:11:25.500651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:11:24.947230Z digest=sha256:71d91e3ffb8d6472a5ab0cc6f906936eb11c36ecccce31b4fd84d2f0aaba5e0e

Observation eb29db69-400e-45f7-871e-bfd7df7a8f07 · outbound

This paper cites Reco: Region-controlled text-to-image genera- tion.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model Reco: Region-controlled text-to-image genera- tion

Reference 57

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raw_fallback, observed 2026-08-12T14:11:25.483580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:11:24.951906Z digest=sha256:637229fe234a6312f90dc2fee7066cc44cebbe942ebfeb24b4060ab598df884c

Observation c5d76205-730e-45cc-b680-4690c5187737 · outbound

This paper cites Transparent Image Layer Diffusion using Latent Transparency.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model Transparent Image Layer Diffusion using Latent Transparency

Reference 58

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no resolver link, observed 2026-08-12T14:11:24.957010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:11:24.957010Z digest=sha256:e521e99d885ba0b27d247e3bfc30a2cf9d63e72de3d00357b69c9ebd3757826e

Observation 6f7d9e19-049e-4cab-a68c-f84298d98094 · outbound

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

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model Adding conditional control to text-to-image diffusion models

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T14:11:25.469115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:11:24.961458Z digest=sha256:eaaf8a7a39f77f6a5b2a9f4d4e02852376b3fbd6f1599351de2f7e7e121a9d40

Observation af3ef777-815f-4ea9-9c24-302dd60f9e2d · outbound

This paper cites Text2Layer: Layered Image Generation using Latent Diffusion Model.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model Text2Layer: Layered Image Generation using Latent Diffusion Model

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-12T14:11:24.965349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:11:24.965349Z digest=sha256:a202354394d0280aeca892294aa6aaebc6b242526f08b7cfa1f56d69f45f7250

Observation dd261519-77e4-4f8c-a535-88d540974292 · outbound

This paper cites Layoutdiffusion: Controllable diffu- sion model for layout-to-image generation.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model Layoutdiffusion: Controllable diffu- sion model for layout-to-image generation

Reference 61

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verified fuzzy
raw_fallback, observed 2026-08-12T14:11:25.455702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:11:24.970384Z digest=sha256:2974e618488068e5cd40b028a4944f0d2272f48b5d112f84470a8270fb4ef830

Observation ed0b84c5-ddb4-4a4a-871a-8b78b9846c0e · outbound

This paper cites Bilateral Reference for High-Resolution Dichotomous Image Segmentation.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model Bilateral Reference for High-Resolution Dichotomous Image Segmentation

Reference 62

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unresolved
no resolver link, observed 2026-08-12T14:11:24.974769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:11:24.974769Z digest=sha256:fbba3e95408c30be1850ed4c1b9f9adadf5bf061f6c1a1be1e10349a50165dc8

Observation 146cd810-5ce7-4eaf-a008-54bebbbdef90 · outbound

This paper cites Zero-Shot Subject-Centric Generation for Creative Application Using Entropy Fusion.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model Zero-Shot Subject-Centric Generation for Creative Application Using Entropy Fusion

Reference 63

Resolution
verified exact
local_arxiv, observed 2026-08-12T14:11:25.031340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:11:24.979033Z digest=sha256:8ed4bd650dcd898b9f3a150db83d1e81e193ed95fc68822a47dc3ddb7eee9274

Observation 57f218cd-27bf-4dc1-875c-2d670573c882 · outbound

This paper cites an unresolved cited work.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model Unresolved cited work

Reference 64

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unresolved
raw_fallback, observed 2026-08-12T14:11:25.440464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:11:24.983849Z digest=sha256:f9799c1445a1f368beee20573774acdd13c54227ebdd4858b26d9e0286b2de4b

Observation 8788df8f-9d52-4a3d-8ee1-9589ee360e4c · outbound

This paper cites Additional Results: TKG-DM with Green Chroma Key Backgrounds Fig.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model Additional Results: TKG-DM with Green Chroma Key Backgrounds Fig

Reference 65

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malformed identifier
raw_fallback, observed 2026-08-12T14:11:25.425585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:11:24.988781Z digest=sha256:3f3b44c86386f5fb7a065327ea2531344b356d27f809383d18a22c52f3a6cb5f

Observation f677a9e1-1377-44aa-b39b-3d09446d937e · outbound

This paper cites red apple and glass of juice.

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model red apple and glass of juice

Reference 66

Resolution
malformed identifier
raw_fallback, observed 2026-08-12T14:11:25.410211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T14:11:24.993427Z digest=sha256:c2347a70eac7715c4e5fe187e3f4fdcbfea91c5351c3296c4267ca2475ad125f

Pith citing papers

Observation 24cf4110-7b4d-41dd-82de-edcc0269661c · inbound

HarmoniDiff-RS: Training-Free Diffusion Harmonization for Satellite Image Composition cites this paper.

HarmoniDiff-RS: Training-Free Diffusion Harmonization for Satellite Image Composition TKG-DM: Training-free Chroma Key Content Generation Diffusion Model

Reference 11

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verified exact
arxiv_id, observed 2026-05-11T12:26:11.459249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T03:36:14.179585Z digest=sha256:8887449426e872e99246f5cb1462e41e6d3dcbecb82bf476b6c3faeac48e8d97