Paper Citation Record · LEDGER

Boosted GAN with Semantically Interpretable Information for Image Inpainting

As of 16 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:1908.04503.

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

pith.paper-citation-record.v1
1908.04503 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:44:59.039905Z

measured 44 of 44 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

44 of 44 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 631f04a5-99aa-404b-a339-9e848dde8921 · outbound

This paper cites Generative image inpainting with contextual attention,.

Boosted GAN with Semantically Interpretable Information for Image Inpainting Generative image inpainting with contextual attention,

Reference 1

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Observation 9a0da68e-317c-4d84-9512-4f727e885aeb · outbound

This paper cites An aug- mented lagrangian approach to the constrained optimization formulation of imaging inverse problems,.

Boosted GAN with Semantically Interpretable Information for Image Inpainting An aug- mented lagrangian approach to the constrained optimization formulation of imaging inverse problems,

Reference 2

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Observation b28b064a-4e84-44e9-80c4-9cfb63e9f32a · outbound

This paper cites Patch- match: A randomized correspondence algorithm for structural image editing,.

Boosted GAN with Semantically Interpretable Information for Image Inpainting Patch- match: A randomized correspondence algorithm for structural image editing,

Reference 3

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Observation 48d27fc6-e961-489f-b6c7-0616fc1cc61a · outbound

This paper cites Texture synthesis by non-parametric sampling,.

Boosted GAN with Semantically Interpretable Information for Image Inpainting Texture synthesis by non-parametric sampling,

Reference 4

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Observation 908e7386-6d6c-4480-8790-73eb28b0550c · outbound

This paper cites Generative adversarial nets,.

Boosted GAN with Semantically Interpretable Information for Image Inpainting Generative adversarial nets,

Reference 5

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Observation 0d056398-863a-40a0-abd4-ef5cbc03f21e · outbound

This paper cites Unsupervised representation learning with deep convolutional generative adversarial networks,.

Boosted GAN with Semantically Interpretable Information for Image Inpainting Unsupervised representation learning with deep convolutional generative adversarial networks,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:44:59.702957Z

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Observation b4e4f8b4-92c9-411e-99b7-13858591390c · outbound

This paper cites Kdgan: Knowledge distillation with generative adversarial networks,.

Boosted GAN with Semantically Interpretable Information for Image Inpainting Kdgan: Knowledge distillation with generative adversarial networks,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:44:59.686480Z

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Observation afc6fd15-b896-4bd7-871e-281289d00a33 · outbound

This paper cites Globally and locally consistent image completion,.

Boosted GAN with Semantically Interpretable Information for Image Inpainting Globally and locally consistent image completion,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:44:59.669984Z

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Observation be84e8c1-897d-48b3-a2cd-939d0ea35834 · outbound

This paper cites Context encoders: Feature learning by inpainting,.

Boosted GAN with Semantically Interpretable Information for Image Inpainting Context encoders: Feature learning by inpainting,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:44:59.653524Z

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Observation 96960a60-3730-4414-8de4-fed906fbcd97 · outbound

This paper cites High- resolution image inpainting using multi-scale neural patch synthesis,.

Boosted GAN with Semantically Interpretable Information for Image Inpainting High- resolution image inpainting using multi-scale neural patch synthesis,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:44:59.637291Z

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Observation eea7fe3e-979e-4835-9c6b-d8457a3aa56e · outbound

This paper cites Semantic image inpainting with deep generative models,.

Boosted GAN with Semantically Interpretable Information for Image Inpainting Semantic image inpainting with deep generative models,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:44:59.621480Z

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Observation 8c85e3c3-f182-4f6c-bc1a-5d42c8b928b2 · outbound

This paper cites Generative adversarial text to image synthesis,.

Boosted GAN with Semantically Interpretable Information for Image Inpainting Generative adversarial text to image synthesis,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:44:59.606130Z

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Observation 5f01ea81-f4c3-4efe-9057-785dccf454e4 · outbound

This paper cites Stackgan: Text to photo-realistic image synthesis with stacked generative adversarial networks,.

Boosted GAN with Semantically Interpretable Information for Image Inpainting Stackgan: Text to photo-realistic image synthesis with stacked generative adversarial networks,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:44:59.590427Z

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Observation 5234b74c-479b-46df-af88-fd5cb5722f87 · outbound

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

Boosted GAN with Semantically Interpretable Information for Image Inpainting Image-to-image translation with conditional adversarial networks,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:44:59.574652Z

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Observation 8b96919e-a0d4-4430-a29d-9a3f26e07b9d · outbound

This paper cites High-resolution image synthesis and semantic manipulation with con- ditional gans,.

Boosted GAN with Semantically Interpretable Information for Image Inpainting High-resolution image synthesis and semantic manipulation with con- ditional gans,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:44:59.558660Z

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Observation 82196dde-a788-42b5-b671-a69bba826499 · outbound

This paper cites Deep learning face attributes in the wild,.

Boosted GAN with Semantically Interpretable Information for Image Inpainting Deep learning face attributes in the wild,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:44:59.542149Z

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Observation decb5d7c-9bbe-4225-b7b3-2b8ff7f7d7b2 · outbound

This paper cites Places: A 10 million image database for scene recognition,.

Boosted GAN with Semantically Interpretable Information for Image Inpainting Places: A 10 million image database for scene recognition,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:44:59.526611Z

Source-reported events for the cited work

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Observation 72ca61ec-8b5b-4035-9e7a-aaac53105955 · outbound

This paper cites Scene parsing through ade20k dataset,.

Boosted GAN with Semantically Interpretable Information for Image Inpainting Scene parsing through ade20k dataset,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:44:59.510611Z

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Observation 3addc834-c204-4190-ab1b-19c115884a81 · outbound

This paper cites Interactive facial feature localization,.

Boosted GAN with Semantically Interpretable Information for Image Inpainting Interactive facial feature localization,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:44:59.493855Z

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Observation 625d8abf-dd8a-4035-8c7e-2982a6d755b7 · outbound

This paper cites Annotation order matters: Recurrent image annotator for arbitrary length image tagging,.

Boosted GAN with Semantically Interpretable Information for Image Inpainting Annotation order matters: Recurrent image annotator for arbitrary length image tagging,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:44:59.475755Z

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Observation 6989db10-5ec1-475a-8421-b0afbb3f583e · outbound

This paper cites Semantic regularisation for recurrent image annotation,.

Boosted GAN with Semantically Interpretable Information for Image Inpainting Semantic regularisation for recurrent image annotation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:44:59.458001Z

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Observation 5a4945aa-6c5c-47c0-a293-f2c7ff93879c · outbound

This paper cites Cnn-rnn: A uniﬁed framework for multi-label image classiﬁcation,.

Boosted GAN with Semantically Interpretable Information for Image Inpainting Cnn-rnn: A uniﬁed framework for multi-label image classiﬁcation,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:44:59.441968Z

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Observation 4f0bde7b-c969-4a7d-b018-789f23960410 · outbound

This paper cites Hcp: A ﬂexible cnn framework for multi-label image classiﬁcation,.

Boosted GAN with Semantically Interpretable Information for Image Inpainting Hcp: A ﬂexible cnn framework for multi-label image classiﬁcation,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:44:59.425594Z

Source-reported events for the cited work

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Observation 35a9f354-6c4c-478a-9ec5-13622b301254 · outbound

This paper cites Exploit bounding box annotations for multi-label object recognition,.

Boosted GAN with Semantically Interpretable Information for Image Inpainting Exploit bounding box annotations for multi-label object recognition,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:44:59.409674Z

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Observation a32eb51e-32b0-4171-9e97-39f5b5548a03 · outbound

This paper cites Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs,.

Boosted GAN with Semantically Interpretable Information for Image Inpainting Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs,

Reference 25

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Observation ba43b595-ab8b-41fe-85f1-e794086a04e9 · outbound

This paper cites Rethinking Atrous Convolution for Semantic Image Segmentation.

Boosted GAN with Semantically Interpretable Information for Image Inpainting Rethinking Atrous Convolution for Semantic Image Segmentation

Reference 26

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This paper cites Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation.

Boosted GAN with Semantically Interpretable Information for Image Inpainting Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Reference 27

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This paper cites Fully convolutional networks for semantic segmentation,.

Boosted GAN with Semantically Interpretable Information for Image Inpainting Fully convolutional networks for semantic segmentation,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:44:59.381676Z

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Observation ab886ad5-8bcc-4c1d-a6d1-a324b81377c1 · outbound

This paper cites Pyramid scene parsing network,.

Boosted GAN with Semantically Interpretable Information for Image Inpainting Pyramid scene parsing network,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:44:59.365790Z

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Observation 5501d3ef-441b-4d82-a963-6284cfb035d9 · outbound

This paper cites Conditional Generative Adversarial Nets.

Boosted GAN with Semantically Interpretable Information for Image Inpainting Conditional Generative Adversarial Nets

Reference 30

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Boosted GAN with Semantically Interpretable Information for Image Inpainting Simultaneous structure and texture image inpainting,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:44:59.349502Z

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Observation bdb5060d-af49-48f8-9252-cb4d20ff7fa2 · outbound

This paper cites Image quilting for texture synthesis and transfer,.

Boosted GAN with Semantically Interpretable Information for Image Inpainting Image quilting for texture synthesis and transfer,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:44:59.332008Z

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Observation 627d7b69-ff53-4c8e-b275-c85fee300cb1 · outbound

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Boosted GAN with Semantically Interpretable Information for Image Inpainting Image inpainting for irregular holes using partial convolutions,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:44:59.316119Z

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Observation 4d77be83-d791-4b5f-891f-f778a28e34ea · outbound

This paper cites Semantic image inpainting with progressive generative networks,.

Boosted GAN with Semantically Interpretable Information for Image Inpainting Semantic image inpainting with progressive generative networks,

Reference 34

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Observation a71c2d7f-d68f-4ff0-a429-39f00909dd6a · outbound

This paper cites Attribute2image: Conditional image generation from visual attributes,.

Boosted GAN with Semantically Interpretable Information for Image Inpainting Attribute2image: Conditional image generation from visual attributes,

Reference 35

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Observation 9e4371b5-ab45-4b42-af65-176fb6300de8 · outbound

This paper cites Multi-label image recognition by recurrently discovering attentional regions,.

Boosted GAN with Semantically Interpretable Information for Image Inpainting Multi-label image recognition by recurrently discovering attentional regions,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:44:59.265075Z

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Observation 670bb5a8-bdf6-4063-bd88-be8eb87c8706 · outbound

This paper cites Progressive growing of gans for improved quality, stability, and variation,.

Boosted GAN with Semantically Interpretable Information for Image Inpainting Progressive growing of gans for improved quality, stability, and variation,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:44:59.249128Z

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Observation f96c194d-131d-4383-ad7b-ee38e33a1fe9 · outbound

This paper cites Exemplar-based face parsing,.

Boosted GAN with Semantically Interpretable Information for Image Inpainting Exemplar-based face parsing,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:44:59.233595Z

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Observation bd60b166-f274-4854-95e4-609477afc764 · outbound

This paper cites Sun database: Large-scale scene recognition from abbey to zoo,.

Boosted GAN with Semantically Interpretable Information for Image Inpainting Sun database: Large-scale scene recognition from abbey to zoo,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:44:59.217082Z

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Observation ed8d38ed-7820-48df-8d43-ca18141a0bf5 · outbound

This paper cites Object retrieval with large vocabularies and fast spatial matching,.

Boosted GAN with Semantically Interpretable Information for Image Inpainting Object retrieval with large vocabularies and fast spatial matching,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:44:59.198248Z

Source-reported events for the cited work

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Observation af051d0d-ea3a-4919-befd-9f4fb0cd0bff · outbound

This paper cites Lost in quantization: Improving particular object retrieval in large scale image databases,.

Boosted GAN with Semantically Interpretable Information for Image Inpainting Lost in quantization: Improving particular object retrieval in large scale image databases,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:44:59.182068Z

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Observation af245e7e-542b-4e83-81e3-621ff1de41cf · outbound

This paper cites Caltech256 image dataset,.

Boosted GAN with Semantically Interpretable Information for Image Inpainting Caltech256 image dataset,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:44:59.165309Z

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Observation 64471161-1704-46d6-8c9b-690c20612046 · outbound

This paper cites Deep learning for content-based image retrieval: A comprehensive study,.

Boosted GAN with Semantically Interpretable Information for Image Inpainting Deep learning for content-based image retrieval: A comprehensive study,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:44:59.147796Z

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Observation c7b9991e-2b58-4a3e-abf4-55e1e40dbcde · outbound

This paper cites Very deep convolutional networks for large-scale image recognition,.

Boosted GAN with Semantically Interpretable Information for Image Inpainting Very deep convolutional networks for large-scale image recognition,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:44:59.131126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

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