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Paper Citation Record · LEDGER

ESDiff: Encoding Strategy-inspired Diffusion Model with Few-shot Learning for Color Image Inpainting

As of 24 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2504.17524.

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

pith.paper-citation-record.v1
2504.17524 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:43:14.204527Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

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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

42 of 42 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 40c11241-4aff-44da-bfa6-55587403de38 · outbound

This paper cites Bringing old photos back to life,.

ESDiff: Encoding Strategy-inspired Diffusion Model with Few-shot Learning for Color Image Inpainting Bringing old photos back to life,

Reference 1

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Observation d1cc9ba9-f46e-4470-b238-a1d3e9674ea4 · outbound

This paper cites Contextual residual aggregation for ultra high -resolution image inpainting,.

ESDiff: Encoding Strategy-inspired Diffusion Model with Few-shot Learning for Color Image Inpainting Contextual residual aggregation for ultra high -resolution image inpainting,

Reference 2

Resolution
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Observation 3ac2b909-4ed4-4a9e-a8d3-dec8be580486 · outbound

This paper cites Learning invariant representation for unsupervised image restoration,.

ESDiff: Encoding Strategy-inspired Diffusion Model with Few-shot Learning for Color Image Inpainting Learning invariant representation for unsupervised image restoration,

Reference 3

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Observation e7e31d87-9aed-4d19-a33b-8b835007c08c · outbound

This paper cites Mask optimization for image inpainting,.

ESDiff: Encoding Strategy-inspired Diffusion Model with Few-shot Learning for Color Image Inpainting Mask optimization for image inpainting,

Reference 4

Resolution
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Source-reported events for the cited work

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Observation 2176385e-f118-458f-94b5-71da05007d3b · outbound

This paper cites Spatio -temporal consistent depth-image-based rendering using layered depth image and inpainting,.

ESDiff: Encoding Strategy-inspired Diffusion Model with Few-shot Learning for Color Image Inpainting Spatio -temporal consistent depth-image-based rendering using layered depth image and inpainting,

Reference 5

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Source-reported events for the cited work

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Observation 5ee4aa80-04d0-4385-8cb0-3de352568f2d · outbound

This paper cites A fast single image haze removal method based on human retina property,.

ESDiff: Encoding Strategy-inspired Diffusion Model with Few-shot Learning for Color Image Inpainting A fast single image haze removal method based on human retina property,

Reference 6

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Source-reported events for the cited work

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Observation ef2ba30e-ac85-4d8b-9524-a471976b32f8 · outbound

This paper cites Learning how to inpaint from global image statistics,.

ESDiff: Encoding Strategy-inspired Diffusion Model with Few-shot Learning for Color Image Inpainting Learning how to inpaint from global image statistics,

Reference 7

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Source-reported events for the cited work

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Observation b855ca3a-feb5-4c28-9578-c5630f222fcb · outbound

This paper cites Level lines based disocclusion,.

ESDiff: Encoding Strategy-inspired Diffusion Model with Few-shot Learning for Color Image Inpainting Level lines based disocclusion,

Reference 8

Resolution
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Source-reported events for the cited work

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Observation 70e84ee8-30b5-4571-8e70-4a8b90a815f1 · outbound

This paper cites Image -to-image translation with conditional adversarial networks,.

ESDiff: Encoding Strategy-inspired Diffusion Model with Few-shot Learning for Color Image Inpainting Image -to-image translation with conditional adversarial networks,

Reference 9

Resolution
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Source-reported events for the cited work

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Observation fae5a4f3-4c2e-4d5e-84c2-7a1a0abf5550 · outbound

This paper cites Image inpainting with local and global refinement,.

ESDiff: Encoding Strategy-inspired Diffusion Model with Few-shot Learning for Color Image Inpainting Image inpainting with local and global refinement,

Reference 10

Resolution
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Source-reported events for the cited work

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Observation 889c61ad-3645-4ff8-a69b-d9bde81722de · outbound

This paper cites A robust forgery detection algorithm for object removal by exemplar -based image inpainting,.

ESDiff: Encoding Strategy-inspired Diffusion Model with Few-shot Learning for Color Image Inpainting A robust forgery detection algorithm for object removal by exemplar -based image inpainting,

Reference 11

Resolution
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Source-reported events for the cited work

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Observation 16be4632-db14-41fa-8b9b-b2f72ee80193 · outbound

This paper cites Image inpainting,.

ESDiff: Encoding Strategy-inspired Diffusion Model with Few-shot Learning for Color Image Inpainting Image inpainting,

Reference 12

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 912820dc-2f2b-474b-8729-c093965343cd · outbound

This paper cites Domain -based structure -aware image inpainting,.

ESDiff: Encoding Strategy-inspired Diffusion Model with Few-shot Learning for Color Image Inpainting Domain -based structure -aware image inpainting,

Reference 13

Resolution
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Source-reported events for the cited work

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Observation 875524a8-1d64-4ece-abb1-044d5cf55cfd · outbound

This paper cites Context -aware patch -based image inpainting using Markov random field modeling,.

ESDiff: Encoding Strategy-inspired Diffusion Model with Few-shot Learning for Color Image Inpainting Context -aware patch -based image inpainting using Markov random field modeling,

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 91e54964-0a07-4551-bb6e-02551f7269de · outbound

This paper cites Kernel regression for image processing and reconstruction,.

ESDiff: Encoding Strategy-inspired Diffusion Model with Few-shot Learning for Color Image Inpainting Kernel regression for image processing and reconstruction,

Reference 15

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 65a055e1-11e2-4a84-b87f-f05afcf4c0c4 · outbound

This paper cites K -SVD: An algorithm for designing overcomplete dictionaries for sparse representation,.

ESDiff: Encoding Strategy-inspired Diffusion Model with Few-shot Learning for Color Image Inpainting K -SVD: An algorithm for designing overcomplete dictionaries for sparse representation,

Reference 16

Resolution
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Source-reported events for the cited work

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Observation dfb2dab9-300f-436e-9dcf-7de54c419c9f · outbound

This paper cites Annihilating filter -based low-rank Hankel matrix approach for image inpainting,.

ESDiff: Encoding Strategy-inspired Diffusion Model with Few-shot Learning for Color Image Inpainting Annihilating filter -based low-rank Hankel matrix approach for image inpainting,

Reference 17

Resolution
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Source-reported events for the cited work

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Observation 1829a311-3270-4ca4-9085-d3252307f3c0 · outbound

This paper cites Damaged region filling by improved criminisi image inpainting algorithm for thangka,.

ESDiff: Encoding Strategy-inspired Diffusion Model with Few-shot Learning for Color Image Inpainting Damaged region filling by improved criminisi image inpainting algorithm for thangka,

Reference 18

Resolution
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Source-reported events for the cited work

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Observation 0e094a23-8dac-4baf-9755-e8b353aed62e · outbound

This paper cites End -to-end trained CNN encoder - decoder networks for image steganography,.

ESDiff: Encoding Strategy-inspired Diffusion Model with Few-shot Learning for Color Image Inpainting End -to-end trained CNN encoder - decoder networks for image steganography,

Reference 19

Resolution
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Source-reported events for the cited work

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Observation 52ee1986-d6aa-4cf3-8cec-34c4951cbdb2 · outbound

This paper cites Deep image prior,.

ESDiff: Encoding Strategy-inspired Diffusion Model with Few-shot Learning for Color Image Inpainting Deep image prior,

Reference 20

Resolution
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Source-reported events for the cited work

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Observation 583ed620-d8e3-4158-8022-71c62336204f · outbound

This paper cites Denoising diffusion probabilistic models,.

ESDiff: Encoding Strategy-inspired Diffusion Model with Few-shot Learning for Color Image Inpainting Denoising diffusion probabilistic models,

Reference 21

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Source-reported events for the cited work

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Observation 90027697-5cd7-44e9-8d4d-6f5d9145323e · outbound

This paper cites Denoising Diffusion Implicit Models.

ESDiff: Encoding Strategy-inspired Diffusion Model with Few-shot Learning for Color Image Inpainting Denoising Diffusion Implicit Models

Reference 22

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Observation daa9a768-ff9f-4df4-ad13-41f28103c6aa · outbound

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

ESDiff: Encoding Strategy-inspired Diffusion Model with Few-shot Learning for Color Image Inpainting High-resolution image synthesis with latent diffusion models,

Reference 23

Resolution
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Observation 2d81e882-4813-425a-ac7b-43b6008825db · outbound

This paper cites Context Encoders: Feature Learning by Inpainting,.

ESDiff: Encoding Strategy-inspired Diffusion Model with Few-shot Learning for Color Image Inpainting Context Encoders: Feature Learning by Inpainting,

Reference 24

Resolution
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Observation a44a5117-5b12-4e82-874c-a38584e58ae9 · outbound

This paper cites Diffusion models beat gans on image synthesis,.

ESDiff: Encoding Strategy-inspired Diffusion Model with Few-shot Learning for Color Image Inpainting Diffusion models beat gans on image synthesis,

Reference 25

Resolution
verified fuzzy
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Observation 8d979004-1b2d-4a3e-b3e3-48d893b5d69d · outbound

This paper cites Generative modeling by estimating gradients of the data distribution,.

ESDiff: Encoding Strategy-inspired Diffusion Model with Few-shot Learning for Color Image Inpainting Generative modeling by estimating gradients of the data distribution,

Reference 26

Resolution
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Observation 94939795-1d0b-402e-acca-8d9f1cee0f7f · outbound

This paper cites Improved techniques for training score - based generative models,.

ESDiff: Encoding Strategy-inspired Diffusion Model with Few-shot Learning for Color Image Inpainting Improved techniques for training score - based generative models,

Reference 27

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 3f25e544-585d-4f0d-87b2-b2fe316c22e6 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

ESDiff: Encoding Strategy-inspired Diffusion Model with Few-shot Learning for Color Image Inpainting Score-Based Generative Modeling through Stochastic Differential Equations

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d45484b9-7cba-4417-bed4-4a6f298e0021 · outbound

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

ESDiff: Encoding Strategy-inspired Diffusion Model with Few-shot Learning for Color Image Inpainting Repaint: Inpainting using denoising diffusion probabilistic models,

Reference 29

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 2378995b-5f81-40be-bf86-e580b309bff5 · outbound

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

ESDiff: Encoding Strategy-inspired Diffusion Model with Few-shot Learning for Color Image Inpainting Elucidating the design space of diffusion -based generative models,

Reference 30

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 2f0a42f0-626a-4222-b1ad-aa4a1c046e60 · outbound

This paper cites Compressed sensing,.

ESDiff: Encoding Strategy-inspired Diffusion Model with Few-shot Learning for Color Image Inpainting Compressed sensing,

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation deb7a369-5f03-458d-8273-c062cf53b616 · outbound

This paper cites L0 -norm-based sparse representation through alternate projections,.

ESDiff: Encoding Strategy-inspired Diffusion Model with Few-shot Learning for Color Image Inpainting L0 -norm-based sparse representation through alternate projections,

Reference 32

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation c2154b5a-4e6d-4f29-953a-dbbf96442ba0 · outbound

This paper cites Enhancing sparsity by reweighted ℓ 1 minimization,.

ESDiff: Encoding Strategy-inspired Diffusion Model with Few-shot Learning for Color Image Inpainting Enhancing sparsity by reweighted ℓ 1 minimization,

Reference 33

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 3d4f179b-afef-446a-81f4-3105bd2b9d9d · outbound

This paper cites Fractional -order iterative regularization method f or total variation based image denoising,.

ESDiff: Encoding Strategy-inspired Diffusion Model with Few-shot Learning for Color Image Inpainting Fractional -order iterative regularization method f or total variation based image denoising,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:43:14.363956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 2e83ba4f-7350-4882-bad9-90f9d7c96a04 · outbound

This paper cites an unresolved cited work.

ESDiff: Encoding Strategy-inspired Diffusion Model with Few-shot Learning for Color Image Inpainting Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-16T10:43:14.351820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T10:43:14.176676Z digest=sha256:06f06b0064dfad02837380e033bff01633cd0153427715eb718e9bd7ab272273

Observation b6cbe3db-db3f-4659-b87f-3fa2413202e9 · outbound

This paper cites Deep generative model for image inpainting with local binary pattern learning and spatial attention,.

ESDiff: Encoding Strategy-inspired Diffusion Model with Few-shot Learning for Color Image Inpainting Deep generative model for image inpainting with local binary pattern learning and spatial attention,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:43:14.338435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T10:43:14.180517Z digest=sha256:61757d47195cfa78aa79ad167c23f2e262c389bd8f8dafa3bdfd6588510a9fed

Observation 8cdbc217-8e2e-4964-a5ce-89701dfd5933 · outbound

This paper cites E2I: Generative inpainting from edge to image,.

ESDiff: Encoding Strategy-inspired Diffusion Model with Few-shot Learning for Color Image Inpainting E2I: Generative inpainting from edge to image,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:43:14.325612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T10:43:14.185023Z digest=sha256:79f511ac9687f03f49fcf6b376b7874467416f65b4acae6d96a7eb34a4534018

Observation a9084dbd-1d08-43a5-a9e7-15a345fd417b · outbound

This paper cites Inter -Channel Correlation Modeling and Improved Skewed Histogram Shifting for Reversible Data Hiding in Color Images,.

ESDiff: Encoding Strategy-inspired Diffusion Model with Few-shot Learning for Color Image Inpainting Inter -Channel Correlation Modeling and Improved Skewed Histogram Shifting for Reversible Data Hiding in Color Images,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:43:14.311849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T10:43:14.188693Z digest=sha256:1a18953e91e3fdfe87d063d202313b5b87c3ef4c339e7bf2b4220e374ce9a10e

Observation 3e8a95c0-1f70-4f02-a62e-05cc1f7a525b · outbound

This paper cites Generative Modeling with Denoising Auto-Encoders and Langevin Sampling.

ESDiff: Encoding Strategy-inspired Diffusion Model with Few-shot Learning for Color Image Inpainting Generative Modeling with Denoising Auto-Encoders and Langevin Sampling

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-16T10:43:14.192660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:43:14.192660Z digest=sha256:046835e13ca0d9319d659c1b2db3dda6a4ff193f8eaa71789184134e3a5683c9

Observation 99e70a45-d7a4-46b8-8933-3b18d5bc8015 · outbound

This paper cites Distributed optimization and statistical learning via the alternating direction method of multipliers,.

ESDiff: Encoding Strategy-inspired Diffusion Model with Few-shot Learning for Color Image Inpainting Distributed optimization and statistical learning via the alternating direction method of multipliers,

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-16T10:43:14.196829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:43:14.196829Z digest=sha256:b8932a6bb21e8717aefc87b923baa8e84c019ffbcead3ce30539ae77c07a3ca2

Observation da01fc91-6e9d-49da-9f2f-225d197e27ac · outbound

This paper cites Solving a low -rank factorization model for matrix completion by a nonlinear successive over - relaxation algorithm,.

ESDiff: Encoding Strategy-inspired Diffusion Model with Few-shot Learning for Color Image Inpainting Solving a low -rank factorization model for matrix completion by a nonlinear successive over - relaxation algorithm,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:43:14.287146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T10:43:14.200805Z digest=sha256:e57237feda786251a728e792c3cd189e67f828713037c78a4cd271740027b486

Observation 2896c6ad-fcc5-450f-b159-802cd1d6b156 · outbound

This paper cites LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop.

ESDiff: Encoding Strategy-inspired Diffusion Model with Few-shot Learning for Color Image Inpainting LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-16T10:43:14.204527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:43:14.204527Z digest=sha256:957b2a275b1bbb07fa332e360623e27f8d38382bd045738106e851c2b454b6bf

Pith citing papers

No inbound Pith citation observations are available.