Paper Citation Record · LEDGER

Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation

As of 12 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 1 inbound Pith citation observation for arXiv:2412.02322.

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

pith.paper-citation-record.v1
2412.02322 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:41:15.565723Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:44:40.378637Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T14:44:40.583939Z

Reference resolution

53 of 53 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation be275b4c-40d4-4128-8f1a-f92261413680 · outbound

This paper cites Shadowformer: Global context helps shadow removal,.

Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation Shadowformer: Global context helps shadow removal,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:41:16.113765Z

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Observation 06ebf6fd-02ac-4e93-b50f-63abec3ece24 · outbound

This paper cites Leveraging inpainting for single-image shadow removal,.

Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation Leveraging inpainting for single-image shadow removal,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:41:16.103523Z

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Observation 9c11d65d-ce22-4c22-9b17-28d7a7ccf107 · outbound

This paper cites A shadow imaging bilinear model and three-branch residual network for shadow removal,.

Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation A shadow imaging bilinear model and three-branch residual network for shadow removal,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:41:16.092925Z

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Observation 9d86a6c7-3d2d-4c2e-9cba-3045bdb46688 · outbound

This paper cites Homoformer: Homogenized transformer for image shadow removal,.

Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation Homoformer: Homogenized transformer for image shadow removal,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:41:16.082477Z

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Observation 5d3224f1-fadc-4f8d-aa72-51dc7d4f2c3d · outbound

This paper cites Shadow removal via shadow image decompo- sition,.

Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation Shadow removal via shadow image decompo- sition,

Reference 5

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Observation 1ce5282d-ef96-4afb-b0e0-f63346f78473 · outbound

This paper cites Denoising diffusion probabilistic models,.

Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation Denoising diffusion probabilistic models,

Reference 6

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Observation 6fbbc2f5-202f-481e-ba61-531fd9267792 · outbound

This paper cites Denoising Diffusion Implicit Models.

Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation Denoising Diffusion Implicit Models

Reference 7

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Observation c88b5949-9e8c-4758-9072-c63349b07e10 · outbound

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

Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation High- resolution image synthesis with latent diffusion models,

Reference 8

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Observation abef9ffa-cd3a-4cea-95ba-f4f9de84b2f5 · outbound

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

Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation Adding conditional control to text-to-image diffusion models,

Reference 9

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Observation 8fd7610e-2af9-468b-b7d0-717fed2649a7 · outbound

This paper cites Sgdm: An adaptive style- guided diffusion model for personalized text to image generation,.

Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation Sgdm: An adaptive style- guided diffusion model for personalized text to image generation,

Reference 10

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Observation b7a605eb-c329-4b3f-aad0-b521660fd675 · outbound

This paper cites Animediff: Customized image generation of anime characters using diffusion model,.

Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation Animediff: Customized image generation of anime characters using diffusion model,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:41:16.042565Z

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Observation d3a4d6cc-97ef-45ea-af3f-428673924b4a · outbound

This paper cites DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior.

Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior

Reference 12

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Observation af14117f-dfd4-4ec2-a183-23e0181888b8 · outbound

This paper cites Diffusion Model for Generative Image Denoising.

Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation Diffusion Model for Generative Image Denoising

Reference 13

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Observation 770b240e-b590-4f62-b7aa-59d768418c42 · outbound

This paper cites Denoising diffusion restoration models,.

Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation Denoising diffusion restoration models,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T23:41:15.412597Z

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Observation bdc8f040-9034-4230-9d69-225183785bb0 · outbound

This paper cites Controlling Vision-Language Models for Multi-Task Image Restoration.

Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation Controlling Vision-Language Models for Multi-Task Image Restoration

Reference 15

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Observation af6b62c5-23f2-4146-a788-a839aa24a9cc · outbound

This paper cites Residual de- noising diffusion models,.

Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation Residual de- noising diffusion models,

Reference 16

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Observation 0724c5fc-f09e-4859-ac5f-f45adb1efb00 · outbound

This paper cites The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale,.

Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale,

Reference 17

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Observation adb270a1-bdc5-44c0-a61c-23606ab80b54 · outbound

This paper cites Laion- 5b: An open large-scale dataset for training next generation image-text models,.

Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation Laion- 5b: An open large-scale dataset for training next generation image-text models,

Reference 18

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Observation 8b8aee64-8d98-4fb6-82ad-ef523473bb48 · outbound

This paper cites Shadow remover: Image shadow removal based on illumination recovering optimization,.

Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation Shadow remover: Image shadow removal based on illumination recovering optimization,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:41:16.007090Z

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Observation ed39db93-3d41-4430-9ff0-bd211e588659 · outbound

This paper cites The shadow meets the mask: Pyramid-based shadow removal,.

Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation The shadow meets the mask: Pyramid-based shadow removal,

Reference 20

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Observation bf4ff419-d77f-4eda-97fc-0e537b838d64 · outbound

This paper cites On the removal of shadows from images,.

Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation On the removal of shadows from images,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:41:15.984571Z

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Observation f622ed7d-19da-4d5d-8977-b3def52330c8 · outbound

This paper cites Learning to remove soft shadows,.

Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation Learning to remove soft shadows,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:41:15.973822Z

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Observation d2b2af3e-8bf4-4d61-b667-cff3f80d92c6 · outbound

This paper cites Paired regions for shadow detection and removal,.

Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation Paired regions for shadow detection and removal,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:41:15.962618Z

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Observation 404335cf-7688-40a8-a285-f6b740601ae9 · outbound

This paper cites Leave-one-out kernel optimization for shadow detection and removal,.

Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation Leave-one-out kernel optimization for shadow detection and removal,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:41:15.950179Z

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Observation 2a05c70f-7f41-4a24-947f-e0f02df601d3 · outbound

This paper cites Stacked conditional generative adversarial networks for jointly learning shadow detection and shadow removal,.

Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation Stacked conditional generative adversarial networks for jointly learning shadow detection and shadow removal,

Reference 25

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Observation bdb6414e-1c0a-472d-bd19-74bf57d8d802 · outbound

This paper cites Auto-exposure fusion for single-image shadow removal,.

Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation Auto-exposure fusion for single-image shadow removal,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:41:15.932317Z

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Observation c1bf4efd-0786-494c-82f4-c26940af488d · outbound

This paper cites A boundary-aware network for shadow removal,.

Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation A boundary-aware network for shadow removal,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:41:15.921318Z

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Observation 8db3fe87-39e4-41b4-857f-6c79c100ee1b · outbound

This paper cites Des3: Adaptive attention-driven self and soft shadow removal using vit similarity,.

Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation Des3: Adaptive attention-driven self and soft shadow removal using vit similarity,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:41:15.910319Z

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Observation eac5f6cb-3c88-4be2-84bb-b185cb95bddc · outbound

This paper cites Mask-shadowgan: Learn- ing to remove shadows from unpaired data,.

Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation Mask-shadowgan: Learn- ing to remove shadows from unpaired data,

Reference 29

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Observation 3c3ee387-a58d-438c-8667-ac59a0a2b4e2 · outbound

This paper cites Towards ghost-free shadow removal via dual hierarchical aggregation network and shadow matting gan,.

Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation Towards ghost-free shadow removal via dual hierarchical aggregation network and shadow matting gan,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:41:15.892768Z

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Observation 2f870fb7-2d7e-4d61-9d67-19d31c4cd7d3 · outbound

This paper cites Dc-shadownet: Single-image hard and soft shadow removal using unsupervised domain-classifier guided network,.

Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation Dc-shadownet: Single-image hard and soft shadow removal using unsupervised domain-classifier guided network,

Reference 31

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Observation a744e557-59b1-4c0b-89c1-c195f055780f · outbound

This paper cites A decoupled multi- task network for shadow removal,.

Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation A decoupled multi- task network for shadow removal,

Reference 32

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Observation 671e8d61-f255-447a-a6ee-006232c9fe4a · outbound

This paper cites Mmginpainting: Multi-modality guided image inpainting based on diffusion models,.

Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation Mmginpainting: Multi-modality guided image inpainting based on diffusion models,

Reference 33

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Observation 5859f223-9909-4411-8e05-6c2ee69d1968 · outbound

This paper cites Wavedm: Wavelet-based diffusion models for image restoration,.

Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation Wavedm: Wavelet-based diffusion models for image restoration,

Reference 34

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Observation fed135e5-e5a6-422c-be27-e80024814daf · outbound

This paper cites Shadowdiffusion: When degradation prior meets diffusion model for shadow removal,.

Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation Shadowdiffusion: When degradation prior meets diffusion model for shadow removal,

Reference 35

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Observation 1b0cd54f-662e-429d-b350-5ddf0156b714 · outbound

This paper cites Latent feature-guided diffusion models for shadow removal,.

Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation Latent feature-guided diffusion models for shadow removal,

Reference 36

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Observation 309a67e8-0e84-4194-80e3-bd9ddfadfc18 · outbound

This paper cites Scaling up to excellence: Practicing model scaling for photo- realistic image restoration in the wild,.

Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation Scaling up to excellence: Practicing model scaling for photo- realistic image restoration in the wild,

Reference 37

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Observation 9b9f89e5-1bf7-4b66-8a2b-9a5e445ff64d · outbound

This paper cites Seesr: Towards semantics-aware real-world image super-resolution,.

Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation Seesr: Towards semantics-aware real-world image super-resolution,

Reference 38

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This paper cites Paint by example: Exemplar-based image editing with diffusion models,.

Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation Paint by example: Exemplar-based image editing with diffusion models,

Reference 39

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This paper cites Momentum contrast for unsupervised visual representation learning,.

Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation Momentum contrast for unsupervised visual representation learning,

Reference 40

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Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation Taming transformers for high- resolution image synthesis,

Reference 41

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This paper cites Designing a Better Asymmetric VQGAN for StableDiffusion.

Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation Designing a Better Asymmetric VQGAN for StableDiffusion

Reference 42

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This paper cites Deformable convnets v2: More deformable, better results,.

Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation Deformable convnets v2: More deformable, better results,

Reference 43

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This paper cites Learning transferable visual models from natural language supervision,.

Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation Learning transferable visual models from natural language supervision,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:41:15.794876Z

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Observation bc4acb92-2b6e-4098-ab64-e8fff4567543 · outbound

This paper cites Physics-based shadow image decomposition for shadow removal,.

Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation Physics-based shadow image decomposition for shadow removal,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:41:15.784749Z

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Observation 5fe8f93e-7974-464b-b48f-c62c8219a4ac · outbound

This paper cites Deshadownet: A multi- context embedding deep network for shadow removal,.

Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation Deshadownet: A multi- context embedding deep network for shadow removal,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:41:15.774612Z

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Observation 5eb434b7-3bf2-41c3-bd4a-f453bc93a6d4 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric,.

Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation The unreasonable effectiveness of deep features as a perceptual metric,

Reference 47

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Observation 7a101f1f-a202-4ba3-bf2d-876df120be8f · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium,.

Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation Gans trained by a two time-scale update rule converge to a local nash equilibrium,

Reference 48

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Observation 569e8a31-ebef-4154-afb7-b22fb2dfbc04 · outbound

This paper cites Direction-aware spatial context features for shadow detection,.

Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation Direction-aware spatial context features for shadow detection,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:41:15.752585Z

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Observation b5a3eaed-48b9-47fc-aa6d-760f63eb2301 · outbound

This paper cites Shadow removal by a lightness-guided network with training on unpaired data,.

Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation Shadow removal by a lightness-guided network with training on unpaired data,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:41:15.742403Z

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Observation 901a9cca-a4ca-4a41-abac-6a13b89cc230 · outbound

This paper cites Unveiling deep shadows: A survey on image and video shadow detection, removal, and generation in the era of deep learning,.

Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation Unveiling deep shadows: A survey on image and video shadow detection, removal, and generation in the era of deep learning,

Reference 51

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Observation 82880992-053b-4a07-9423-77f3bf5cbe52 · outbound

This paper cites Style- guided shadow removal,.

Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation Style- guided shadow removal,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:41:15.730949Z

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Observation dcf493f4-2c25-434f-a80f-bcaa27da5f29 · outbound

This paper cites Bijective mapping network for shadow removal,.

Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation Bijective mapping network for shadow removal,

Reference 53

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Pith citing papers

Observation 6872aa30-d46e-4e1c-888e-e5a9cf4dbff6 · inbound

Prompt-Aware Controllable Shadow Removal cites this paper.

Prompt-Aware Controllable Shadow Removal Controlling the Latent Diffusion Model for Generative Image Shadow Removal via Residual Generation

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-10T14:44:40.589080Z

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