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Paper Citation Record · LEDGER

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling

As of 8 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2602.20725.

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

pith.paper-citation-record.v1
2602.20725 v2

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T21:21:55.587818Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

54 of 54 outbound references displayed

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  • verified fuzzy0
  • unresolved53
  • parse uncertain0
  • malformed identifier1
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External citation measurements

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Outbound references

Observation 70a1edab-6860-4f4e-8638-e18193dfcf8f · outbound

This paper cites Blended diffusion for text-driven editing of natural images.

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling Blended diffusion for text-driven editing of natural images

Reference 1

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Observation 67565cf9-0b9c-4975-8329-bea9bfa16b2a · outbound

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

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling In- structpix2pix: Learning to follow image editing instructions

Reference 2

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source=pdf_text observed=2026-08-02T21:21:49.181038Z digest=sha256:5f70b7d70385075c8e993343f738b7fb2d24c9fb04359d710102c68f814bf1b4

Observation 33003536-5ee4-46c1-958f-892aee5ae567 · outbound

This paper cites Physically-based shading at disney.

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling Physically-based shading at disney

Reference 3

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Observation 6a08f919-8d06-4b4f-b5da-26bc00b5017e · outbound

This paper cites MasaCtrl: Tuning-Free Mutual Self-Attention Control for Consistent Image Synthesis and Editing.

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling MasaCtrl: Tuning-Free Mutual Self-Attention Control for Consistent Image Synthesis and Editing

Reference 4

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source=pdf_text observed=2026-08-02T21:21:49.467875Z digest=sha256:53a98e074c9ee842d116725136d1a8033bd8406fabea2ab39de830d4c91e8424

Observation 3869f740-fcba-46a7-a50a-e585940c5539 · outbound

This paper cites Fan- tasia3d: Disentangling geometry and appearance for high- quality text-to-3d content creation.

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling Fan- tasia3d: Disentangling geometry and appearance for high- quality text-to-3d content creation

Reference 5

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Observation 214dc513-8ec9-47aa-9297-09b51f7bb23f · outbound

This paper cites Attribute-Centric Compositional Text-to-Image Generation.

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling Attribute-Centric Compositional Text-to-Image Generation

Reference 6

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source=pdf_text observed=2026-08-02T21:21:49.830517Z digest=sha256:8977e9f9ccf0d6c88e01b2f40f724619f46c58da178ce9e2c2a401e36c91623b

Observation 676c1c51-1fb5-470e-8f08-453ecaa6cf58 · outbound

This paper cites an unresolved cited work.

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling Unresolved cited work

Reference 7

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source=pdf_text observed=2026-08-02T21:21:49.944148Z digest=sha256:b9a3255e3327d5c23185d856d5da8530b1d7a6e9d3e684e2c9c2fc278d08ba95

Observation 4a6f7696-9f6b-49a2-a679-9128ac708185 · outbound

This paper cites Expressive text-to-image generation with rich text.

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling Expressive text-to-image generation with rich text

Reference 8

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source=pdf_text observed=2026-08-02T21:21:50.102746Z digest=sha256:6cc82967fc14ed80ada5a923b8870831d69ff1f197abea1429dc88641a114048

Observation fa98f532-79c5-4582-80c9-4135a67b4b1f · outbound

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

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling Prompt-to-Prompt Image Editing with Cross Attention Control

Reference 9

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source=pdf_text observed=2026-08-02T21:21:50.245657Z digest=sha256:5e444554bc7ccda0a024bf38da07ea14ef1fa67ad8086a811857d5394e32e56f

Observation b416a7a8-1f22-4f8d-9d8c-32c8fa31e188 · outbound

This paper cites Classifier-free diffusion guidance.

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling Classifier-free diffusion guidance

Reference 10

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source=pdf_text observed=2026-08-02T21:21:50.355392Z digest=sha256:11bd32e073d270dd1121f9fa239231363e7ea026d7e24760a5875576a1e24279

Observation 2f0af1ae-6b0a-4d0f-91be-51ae6aa32f2d · outbound

This paper cites Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 11

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Observation 8eee76ac-4fff-4b8a-b69d-f48294a1a086 · outbound

This paper cites Neural gaffer: Relighting any object via diffusion.

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling Neural gaffer: Relighting any object via diffusion

Reference 12

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source=pdf_text observed=2026-08-02T21:21:50.666995Z digest=sha256:9b1fd70d64bde276abd145f8f0a25b074a751be22fe34cec63a6466d557eeed8

Observation aee9c2b7-6bff-4cc7-9763-e7731b5666a8 · outbound

This paper cites an unresolved cited work.

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling Unresolved cited work

Reference 13

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source=pdf_text observed=2026-08-02T21:21:50.818200Z digest=sha256:9d8620bf51871050c8d9de6a291593b296726903832bee380a1d9d4c4362e22e

Observation 3598b265-5e4b-41dd-bfe3-ec5d18c25aba · outbound

This paper cites Elucidating the design space of diffusion-based generative models.

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling Elucidating the design space of diffusion-based generative models

Reference 14

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source=pdf_text observed=2026-08-02T21:21:51.111337Z digest=sha256:041d5dd2ba9a99b731aad561abd881498e64c890cb589f0119914b3c7be64bdd

Observation 7cb103c7-8da9-4a94-ab91-e111e83115c7 · outbound

This paper cites Imagic: Text-based real image editing with diffusion models.

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling Imagic: Text-based real image editing with diffusion models

Reference 15

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source=pdf_text observed=2026-08-02T21:21:51.255554Z digest=sha256:520a14341d857faa40d954b77e01baff78aaf7ac4ca51c51ba20d79870731cde

Observation a1e66fce-1dbd-44d9-8240-9b1d3c5fef34 · outbound

This paper cites Dif- fusionclip: Text-guided diffusion models for robust image manipulation.

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling Dif- fusionclip: Text-guided diffusion models for robust image manipulation

Reference 16

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source=pdf_text observed=2026-08-02T21:21:51.337410Z digest=sha256:0ab192566604f9322b1a8afe5b25563e762a5226e01e503cb25c3ebd1fadf9bc

Observation bc039bb7-3656-4d24-b596-0b6ac6c9923a · outbound

This paper cites Intrinsic Image Diffusion for Indoor Single-view Material Estimation.

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling Intrinsic Image Diffusion for Indoor Single-view Material Estimation

Reference 17

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source=pdf_text observed=2026-08-02T21:21:51.477709Z digest=sha256:f7aaec079239fee26384daa7838c4f93b04ec31f268293492edab0b4d66d7896

Observation ca766da2-5afc-4365-8c4c-de1cc9ecbd4b · outbound

This paper cites DiffusionRenderer: Neural Inverse and Forward Rendering with Video Diffusion Models.

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling DiffusionRenderer: Neural Inverse and Forward Rendering with Video Diffusion Models

Reference 18

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source=pdf_text observed=2026-08-02T21:21:51.622881Z digest=sha256:b8b93467eb6336054d032d0b73d0986b9daab3dd525ea6a9357d7acb502fdffc

Observation fdbce2b0-412d-49b7-9143-a94af04fe766 · outbound

This paper cites Zero-1-to-3: Zero-shot one image to 3d object.

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling Zero-1-to-3: Zero-shot one image to 3d object

Reference 19

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source=pdf_text observed=2026-08-02T21:21:51.754034Z digest=sha256:b0c53ef4ca1d15a6950aefba19cada463cc98c6fa748315b2f7dfa726f8d4c6f

Observation c6ee4869-2836-4fa9-9d4c-b69d8468a81b · outbound

This paper cites Open-edit: Open- domain image manipulation with open-vocabulary instruc- tions.

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling Open-edit: Open- domain image manipulation with open-vocabulary instruc- tions

Reference 20

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source=pdf_text observed=2026-08-02T21:21:51.897063Z digest=sha256:fd43e187eb345e1a51b587a1a7ca60550ffcf2bc5f728101abb70885d6d38a85

Observation 6a653146-f8d6-482e-818c-e3def7fedff0 · outbound

This paper cites Subject-Diffusion:Open Domain Personalized Text-to-Image Generation without Test-time Fine-tuning.

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling Subject-Diffusion:Open Domain Personalized Text-to-Image Generation without Test-time Fine-tuning

Reference 21

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source=pdf_text observed=2026-08-02T21:21:52.070705Z digest=sha256:527c44835c20c83b03b5fa7521d92957c6609f5e8b9e425470e389549735f62d

Observation 095fe6f4-add3-4214-b04d-338405bfd4fa · outbound

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

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling SDEdit: Guided image synthesis and editing with stochastic differential equa- tions

Reference 22

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source=pdf_text observed=2026-08-02T21:21:52.208033Z digest=sha256:e442b86bc786682f7827e1b96aebd5a830d7f021f538c2021f6ee08effe244ec

Observation fe7b75be-ac89-4f29-9d49-f5ed4dfba47f · outbound

This paper cites Null-text inversion for editing real images using guided diffusion models.

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling Null-text inversion for editing real images using guided diffusion models

Reference 23

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source=pdf_text observed=2026-08-02T21:21:52.377668Z digest=sha256:5eb4ac1062bfa5d920f5a51747223cf9a0edcbbbd402672c3c407c0e5669912a

Observation b34110ba-cff3-4773-9381-d70409a181b1 · outbound

This paper cites T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models.

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models

Reference 24

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source=pdf_text observed=2026-08-02T21:21:52.490036Z digest=sha256:49f4a392d5f4360c2736b165344b1fcfb997fb813badf6fc8d72614e47765538

Observation 79e3b487-b324-4f13-b71d-3da3793d1591 · outbound

This paper cites Glide: Towards photorealis- tic image generation and editing with text-guided diffusion models.

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling Glide: Towards photorealis- tic image generation and editing with text-guided diffusion models

Reference 25

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source=pdf_text observed=2026-08-02T21:21:52.603514Z digest=sha256:cf4d7a574a38c53be62c05a5defb0676f049439ad0c2613373ce223e0c4f3538

Observation ca1e763c-97ed-4ec3-8810-0a66748a894b · outbound

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

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 26

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source=pdf_text observed=2026-08-02T21:21:52.726021Z digest=sha256:3b93a17ecd5902dd82501537a0739e2cf7ec5a369c671fd19aa9334eff4ab894

Observation eb088a3b-7941-4e45-8b5f-b3f4df1dc452 · outbound

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

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling High-resolution image syn- thesis with latent diffusion models

Reference 27

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source=pdf_text observed=2026-08-02T21:21:52.831068Z digest=sha256:2da1ea96d92c40b67b74b311c263aac2416100ab238d1f8f1818a2879e342a80

Observation a6a4d590-2370-40fe-9985-46bf0f6d4db1 · outbound

This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation.

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 28

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source=pdf_text observed=2026-08-02T21:21:52.994136Z digest=sha256:3e9e939c850c98b09cae410c032c5357f2f0eb6f7ab197ea9e0c8896597b16d0

Observation b89ca4ce-5d7c-42f3-a608-a8de4b5cc51c · outbound

This paper cites HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models.

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models

Reference 29

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source=pdf_text observed=2026-08-02T21:21:53.105860Z digest=sha256:a8db6cc4ea1a209821eda6545264b9781c053137f6e6d914b0fafd1c86546002

Observation 4d38341c-cb06-4321-86cc-e95cbf6751df · outbound

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

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling Photorealistic text-to-image diffusion models with deep language understanding.NeurIPS, 35:36479–36494, 2022

Reference 30

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source=pdf_text observed=2026-08-02T21:21:53.220936Z digest=sha256:3c8f8d534692c75e46601f9a97278d7d8453984008b9a7fb41241083977f26b4

Observation 0db14f04-d37d-4520-bba2-dda451157d50 · outbound

This paper cites Matfusion: A generative dif- fusion model for svbrdf capture.

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling Matfusion: A generative dif- fusion model for svbrdf capture

Reference 31

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source=pdf_text observed=2026-08-02T21:21:53.360209Z digest=sha256:d36bc6c30a2dda0d2d126ff552c464519ce6770c32b5f4e9ce1113938257717b

Observation fc00f2e2-3e3f-4511-a99c-657a9bfb85b4 · outbound

This paper cites Alchemist: Parametric Control of Material Properties with Diffusion Models.

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling Alchemist: Parametric Control of Material Properties with Diffusion Models

Reference 32

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source=pdf_text observed=2026-08-02T21:21:53.473945Z digest=sha256:e23d0577db21220b9da1bd54adf9f622d62bf68b3f350a10545470dc6dd986db

Observation 6e9d7074-f121-4df5-b20b-aa6769ca4493 · outbound

This paper cites Large-scale text-to-image model with inpainting is a zero-shot subject-driven image generator.

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling Large-scale text-to-image model with inpainting is a zero-shot subject-driven image generator

Reference 33

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source=pdf_text observed=2026-08-02T21:21:53.617616Z digest=sha256:73884e70501b8484b9214ab318e06e0ee46cc2f5b11f92b9a03f5714984accfd

Observation c5c8322c-307b-4771-9013-70723aeabb9e · outbound

This paper cites Score-based generative modeling through stochastic differential equa- tions.

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling Score-based generative modeling through stochastic differential equa- tions

Reference 34

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source=pdf_text observed=2026-08-02T21:21:53.780647Z digest=sha256:21a2496482864bca1dd77850ef2b5d521bf99f62261f32d86346d4493994b3ea

Observation 25bcf01c-b146-4b72-8759-2f910c202dca · outbound

This paper cites Stable diffusion v2.1, 2022.https : / / huggingface.

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling Stable diffusion v2.1, 2022.https : / / huggingface

Reference 35

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source=pdf_text observed=2026-08-02T21:21:53.892603Z digest=sha256:14a2db96357d47ad4e8e3e70ee94564224a8d731b92c90b746e76f8d90bc05d7

Observation 41cc58e0-6694-46f8-8d96-2b6b55521611 · outbound

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

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling Plug-and-play diffusion features for text-driven image-to-image translation

Reference 36

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source=pdf_text observed=2026-08-02T21:21:54.069058Z digest=sha256:c9f0ae80c9c294eefa81df16fae6942c662f922e5f5598bec3d010edfcdcd289

Observation eb43952b-f21d-40c6-b64d-537b32fe1d9e · outbound

This paper cites ControlMat: A Controlled Generative Approach to Material Capture.

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling ControlMat: A Controlled Generative Approach to Material Capture

Reference 37

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source=pdf_text observed=2026-08-02T21:21:54.228025Z digest=sha256:63a368c5c20d5be790b5a5743e08610e6505932bde71bb27201ef3e7440d0d12

Observation 3f73491d-97d7-4892-ab25-f1879b7a81fa · outbound

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

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling Sketch-guided text-to-image diffusion models

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Observation 76905fba-8957-48c3-91ee-2c2503de4613 · outbound

This paper cites P+: Extended Textual Conditioning in Text-to-Image Generation.

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling P+: Extended Textual Conditioning in Text-to-Image Generation

Reference 39

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source=pdf_text observed=2026-08-02T21:21:54.449151Z digest=sha256:24b3008318e4f2bb1f73ac7f1c875e0523be45a0370e8db8bb88758750e68de6

Observation e2117795-bfdc-4cc9-8809-d3685e04b114 · outbound

This paper cites Novel View Synthesis with Diffusion Models.

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling Novel View Synthesis with Diffusion Models

Reference 40

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source=pdf_text observed=2026-08-02T21:21:54.591859Z digest=sha256:44a02edf53e733f876f7f4123317b5a8959ee4a8a97a8cacf196c5cd2b4898dc

Observation 6e9527a2-0dfe-485a-83bc-5816bff0a482 · outbound

This paper cites 3D-aware Image Generation using 2D Diffusion Models.

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling 3D-aware Image Generation using 2D Diffusion Models

Reference 41

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source=pdf_text observed=2026-08-02T21:21:54.681522Z digest=sha256:a4695c09860ee34745ad12f4dbd733be8a01c2f0af8f8e0b165022d676b33264

Observation 4b8c447b-06fa-451d-9a73-90ea371d7630 · outbound

This paper cites FastComposer: Tuning-Free Multi-Subject Image Generation with Localized Attention.

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling FastComposer: Tuning-Free Multi-Subject Image Generation with Localized Attention

Reference 42

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source=pdf_text observed=2026-08-02T21:21:54.797122Z digest=sha256:126230998fd7b9fa3f08cd70b2830e85a15e04f3b84c3d5bfad40ea6b59ba4e6

Observation e794f665-8db2-437d-bfc7-e1d155c2a2b9 · outbound

This paper cites MATLABER: Material-Aware Text-to-3D via LAtent BRDF auto-EncodeR.

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling MATLABER: Material-Aware Text-to-3D via LAtent BRDF auto-EncodeR

Reference 43

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source=pdf_text observed=2026-08-02T21:21:54.899864Z digest=sha256:28b3606c52aab1f750c0c5dc2d8d9d3f579ed8e8671b5b274a9c4e2885356e9f

Observation 9a33b98f-23f4-4e3f-976e-6e78045e43f8 · outbound

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

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 44

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source=pdf_text observed=2026-08-02T21:21:55.006815Z digest=sha256:3b700dd2f25c3aa990c45538d434cba8c1fd208fb7c54a7c04ea59dd52aac661

Observation f8c641c2-95fe-4df2-a165-cafe5ac4696a · outbound

This paper cites Dilightnet: Fine-grained light- ing control for diffusion-based image generation.

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling Dilightnet: Fine-grained light- ing control for diffusion-based image generation

Reference 45

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source=pdf_text observed=2026-08-02T21:21:55.091998Z digest=sha256:24376ea71d94638f2cae18db95e6ddd09d5a234d94df34f2629ea494340f5725

Observation af44acb1-0280-48d7-a961-9e4eb30f5e6b · outbound

This paper cites Paint3D: Paint Anything 3D with Lighting-Less Texture Diffusion Models.

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling Paint3D: Paint Anything 3D with Lighting-Less Texture Diffusion Models

Reference 46

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source=pdf_text observed=2026-08-02T21:21:55.148841Z digest=sha256:4c6e7c81743191edde7f9827f61f14e4ecd8ebf8bab872c1b4250df384274e48

Observation 1bd96f83-f5f6-4976-9fa7-a5cb757dfdb0 · outbound

This paper cites Rgb↔x: Image decomposition and synthe- sis using material- and lighting-aware diffusion models.

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling Rgb↔x: Image decomposition and synthe- sis using material- and lighting-aware diffusion models

Reference 47

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source=pdf_text observed=2026-08-02T21:21:55.200633Z digest=sha256:db3e81b69321a3602bf55f52b40b622b952221f9d0f33a36eff257afda1e53c7

Observation ebcd840f-553a-43a6-9d0b-7b642a353667 · outbound

This paper cites Dreamface: Progressive generation of animat- able 3d faces under text guidance.ACM Trans.

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling Dreamface: Progressive generation of animat- able 3d faces under text guidance.ACM Trans

Reference 48

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source=pdf_text observed=2026-08-02T21:21:55.255147Z digest=sha256:4d779209bdb2eb18e6dcc7fdd0ab5b47fcbe11baa7093d2c2dbd75d221f13434

Observation 025b7601-1424-43cb-9371-4f4204a19eac · outbound

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

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling Adding conditional control to text-to-image diffusion models

Reference 49

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source=pdf_text observed=2026-08-02T21:21:55.311859Z digest=sha256:f28d028e898cb744b182d88ddedc053b762401b0232b34153ad83c4756b3ce7c

Observation 48d8aa8d-7b0c-49df-b798-226c33f572a0 · outbound

This paper cites Adding conditional control to text-to-image diffusion models, 2023.

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling Adding conditional control to text-to-image diffusion models, 2023

Reference 50

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source=pdf_text observed=2026-08-02T21:21:55.365387Z digest=sha256:d49465133ad407f2696ba1e5b2039b81f2b4b96da5382ab4e1044a6974428f89

Observation ad87c2c7-884c-4dfb-b4d3-cf03e71ba4c8 · outbound

This paper cites variance time.

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling variance time

Reference 52

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source=pdf_text observed=2026-08-02T21:21:55.437171Z digest=sha256:6bc4632f0cfe8edc10da459bfba8c295c36b07eab6263596320ecf5ce9f23e06

Observation 53c3771f-389d-468a-bf5a-cc8bac7e4f17 · outbound

This paper cites variance time.

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling variance time

Reference 53

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source=pdf_text observed=2026-08-02T21:21:55.521310Z digest=sha256:91ea103a55abfdc4645d026c77cbbda4e9776fd54c4a66d9889e9c9c5efc3d8c

Observation a4e8d46d-54c9-46c7-95e4-688d6e50b233 · outbound

This paper cites variance time.

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling variance time

Reference 54

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source=pdf_text observed=2026-08-02T21:21:55.587818Z digest=sha256:dda82c6d6a48335ac87bb8ef50118670b110ca8a62041215b9d7de267f85dee7

Observation db808090-aa9a-4557-a7da-c7264226afd2 · outbound

This paper cites an unresolved cited work.

Bridging Rendering and Generative Modeling with Monte Carlo Transport Scheduling Unresolved cited work

Reference 1986

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source=pdf_text observed=2026-08-02T21:21:50.945490Z digest=sha256:f70fc46f1f17a28c5faa96e2cd95d65c2b69380686fc5b984b446a348c216afd

Pith citing papers

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