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Paper Citation Record · LEDGER

Inpaint Anything: Segment Anything Meets Image Inpainting

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 71 inbound Pith citation observations for arXiv:2304.06790.

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

pith.paper-citation-record.v1
2304.06790 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 71 of 71 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 71 of 71 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:26:22.184143Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:29:29.511271Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a2203ea0-ad9a-4bb0-b80b-cda5175454af · inbound

Faster Segment Anything: Towards Lightweight SAM for Mobile Applications cites this paper.

Faster Segment Anything: Towards Lightweight SAM for Mobile Applications Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T22:41:43.487640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-17T22:41:43.411128Z digest=sha256:7a83999f199bb445d7fb19f177cb5312b2b302b370973455eccfe07155b5aa00

Observation 1f9d3eaf-37fb-4d9b-b665-6e382a25a6ad · inbound

SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models cites this paper.

SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 41

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T03:03:26.804216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-17T03:03:26.723464Z digest=sha256:a692a25ad64d3dcbbcc6e485387e8c0f7a3747eb009eb083ae20e4c532fb0d09

Observation 86f186de-481d-4168-b6bc-464d1cbb7713 · inbound

A Survey on Diffusion Models for Inverse Problems cites this paper.

A Survey on Diffusion Models for Inverse Problems Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 53

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T04:31:49.329885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-17T04:31:49.105271Z digest=sha256:9b73de8bad13e026767f2356fa5b42812f147a3857ce61f5f322732f87a372d5

Observation 306d6da6-d432-408f-9091-67029f62efc7 · inbound

On Efficient Variants of Segment Anything Model: A Survey cites this paper.

On Efficient Variants of Segment Anything Model: A Survey Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 80

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verified exact
arxiv_id, observed 2026-05-23T19:43:23.370936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-23T19:42:24.122342Z digest=sha256:9718a621c0e9c976b465e7f9c03578cfb7d2d3ea4705212331ebb9895d2afd99

Observation 7d2f928b-30a6-4a45-ae62-907187221e26 · inbound

ColorEdit: Training-free Image-Guided Color editing with diffusion model cites this paper.

ColorEdit: Training-free Image-Guided Color editing with diffusion model Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 51

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unresolved
no resolver link, observed 2026-08-12T19:53:37.573669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:53:37.573669Z digest=sha256:0fd3b44cf9737c1a89d5b83a02f14790ed34d5825133eb9f926e16699e9ca693

Observation 0a4df989-2a78-440a-9d14-5c2eb4fcbb7f · inbound

There is no SAMantics! Exploring SAM as a Backbone for Visual Understanding Tasks cites this paper.

There is no SAMantics! Exploring SAM as a Backbone for Visual Understanding Tasks Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-12T14:34:38.272580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:34:38.272580Z digest=sha256:121c7e07b8d4b01cef95965c63ece40474ab3e06a713f3d510e0ccd3cd91f0b3

Observation fd7fa7fc-8a6c-48e7-8df9-cd4ca05af031 · inbound

Efficient Track Anything cites this paper.

Efficient Track Anything Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 31

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no resolver link, observed 2026-08-12T10:47:49.945242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:47:49.945242Z digest=sha256:f3fedfdf53cba0e78d3c904b991057083fbcc351d4217eff86e4564f9acc1cf9

Observation bb77017f-d20f-4146-a8cd-21238bf48ece · inbound

UrbanCAD: Towards Highly Controllable and Photorealistic 3D Vehicles for Urban Scene Simulation cites this paper.

UrbanCAD: Towards Highly Controllable and Photorealistic 3D Vehicles for Urban Scene Simulation Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 75

Resolution
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no resolver link, observed 2026-08-12T10:23:40.410378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:23:40.410378Z digest=sha256:c0e868c91e82c76b7579f004c910707ff4cbf1a103b5d27ba8e0811321d13533

Observation d35df8f3-c6fb-426b-86db-10310aa4bad0 · inbound

Diorama: Unleashing Zero-shot Single-view 3D Indoor Scene Modeling cites this paper.

Diorama: Unleashing Zero-shot Single-view 3D Indoor Scene Modeling Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 89

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no resolver link, observed 2026-08-12T10:11:49.748866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:11:49.748866Z digest=sha256:4c127340a6006ea0ab644cef58df7e8d614a58d5529983f7fbcb949ab7f30395

Observation c69130e0-b47d-4e12-93a9-2e2b98a4cae7 · inbound

TinyFusion: Diffusion Transformers Learned Shallow cites this paper.

TinyFusion: Diffusion Transformers Learned Shallow Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-12T04:40:19.612263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:40:19.612263Z digest=sha256:c82f862378c0847dccf5ae126102dc2488a44ab87c96f7d6bd84186e731a8443

Observation 75b2354e-78e5-47ae-9eb3-0503b26da340 · inbound

Who Brings the Frisbee: Probing Hidden Hallucination Factors in Large Vision-Language Model via Causality Analysis cites this paper.

Who Brings the Frisbee: Probing Hidden Hallucination Factors in Large Vision-Language Model via Causality Analysis Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-11T23:01:32.344036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:01:32.344036Z digest=sha256:707eb76e12e9e83bf3e5feb577ed8ff295f5447264b301c5ee80df6ecf8fe33c

Observation d12c06ed-33af-419d-b03e-cf42a0b7431e · inbound

EditScout: Locating Forged Regions from Diffusion-based Edited Images with Multimodal LLM cites this paper.

EditScout: Locating Forged Regions from Diffusion-based Edited Images with Multimodal LLM Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T22:07:33.118030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:07:33.118030Z digest=sha256:2b51bc95deb3ed2665a0b81b7f72f7072d19e6012034eb87f742d6b5ca51a4b9

Observation 1cf32a8f-d6ed-463a-88df-e45fe037567f · inbound

3D-Consistent Image Inpainting with Diffusion Models cites this paper.

3D-Consistent Image Inpainting with Diffusion Models Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-11T20:18:44.517053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:18:44.517053Z digest=sha256:915ef06d461408ea0cc67629f23c23c52e514f9feaf85cac2834deeda798782a

Observation 49945c23-dda5-4757-afd5-d6de44b08c41 · inbound

SAFIRE: Segment Any Forged Image Region cites this paper.

SAFIRE: Segment Any Forged Image Region Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-11T18:11:07.190107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T18:11:07.190107Z digest=sha256:22bd62ddbcb5cddc8288775ecd17d4ee17f5e86565e817c4bd1c2ca5d03f4c44

Observation 1dd8431d-b9a3-43b2-92fd-b7cbd9efd569 · inbound

BrushEdit: All-In-One Image Inpainting and Editing cites this paper.

BrushEdit: All-In-One Image Inpainting and Editing Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 60

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unresolved
no resolver link, observed 2026-08-11T16:11:54.885255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:11:54.885255Z digest=sha256:acfde9c5fec8125c5b36904d148578db81585c7291a055aff25dc65550c80322

Observation d934adca-1bc4-4864-a674-930a0d1eba25 · inbound

SEG-SAM: Semantic-Guided SAM for Unified Medical Image Segmentation cites this paper.

SEG-SAM: Semantic-Guided SAM for Unified Medical Image Segmentation Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-11T13:56:44.995822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:56:44.995822Z digest=sha256:e4f18d71c81b12ef1cb59a3d0bc886caa46c2a3ccff9424eed0bd567c8fc7c02

Observation 2fb91dda-20b5-40a2-8220-edeee7735c7a · inbound

SAUGE: Taming SAM for Uncertainty-Aligned Multi-Granularity Edge Detection cites this paper.

SAUGE: Taming SAM for Uncertainty-Aligned Multi-Granularity Edge Detection Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T13:40:44.569558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:40:44.569558Z digest=sha256:ded62085717cf672130b113bbc7fd858d7fe9a2b231f9443218451907ff47d43

Observation c97a4285-e00a-4606-b795-6690cf6f7d4d · inbound

Texture- and Shape-based Adversarial Attacks for Overhead Image Vehicle Detection cites this paper.

Texture- and Shape-based Adversarial Attacks for Overhead Image Vehicle Detection Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 25

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unresolved
no resolver link, observed 2026-08-11T10:44:38.326346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:44:38.326346Z digest=sha256:4e74caf423afea4e2847cd57ec205ac33de22cac1611ece1b06dfb53759fc47c

Observation 92197ebc-621e-498f-a1ef-b59da0a7bf06 · inbound

Foreground-Covering Prototype Generation and Matching for SAM-Aided Few-Shot Segmentation cites this paper.

Foreground-Covering Prototype Generation and Matching for SAM-Aided Few-Shot Segmentation Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-10T22:48:10.988129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:48:10.988129Z digest=sha256:8940a43bf9c7c4a9c3dd3221fe83d75a20ef5cfe2ed4e90471e381286f7a15c8

Observation 4f3baff2-933a-44b5-a898-a279ecefc025 · inbound

ChartEditor: A Human-AI Paired Tool for Authoring Pictorial Charts cites this paper.

ChartEditor: A Human-AI Paired Tool for Authoring Pictorial Charts Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-10T20:47:53.833473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:47:53.833473Z digest=sha256:28120ac0cdd578bee00fa02c41b05e6444dcda5ed731f92140a862452ada4cbd

Observation f9f173b7-c2b8-4b1a-9648-f4380d9a1a2f · inbound

PIXELS: Progressive Image Xemplar-based Editing with Latent Surgery cites this paper.

PIXELS: Progressive Image Xemplar-based Editing with Latent Surgery Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T19:44:09.030594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:44:09.030594Z digest=sha256:7fe0b89c51c45ddc89c29531468896ae20f4ecef232501581dfd4c8af6686360

Observation 5558a769-a2e9-4f47-b451-99ac707ea1e1 · inbound

Generative Physical AI in Vision: A Survey cites this paper.

Generative Physical AI in Vision: A Survey Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 214

Resolution
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no resolver link, observed 2026-08-10T18:53:00.911168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:53:00.911168Z digest=sha256:9e4fc43250d2dbcde9948cf41509a3c60ccb3a1fd62cef7cc610e1aa076d829e

Observation ce37d53f-cd34-4ca0-a6f7-8c25fa95e32a · inbound

UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion cites this paper.

UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-10T18:14:25.934775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:14:25.934775Z digest=sha256:de9191ec90b40a1fbdf714e11e71a2dfb2c4df5be0cb93d0ac02fd47c9676da7

Observation b7fe7a0e-b6f6-4d57-99a2-be9a911bc198 · inbound

ZISVFM: Zero-Shot Object Instance Segmentation in Indoor Robotic Environments with Vision Foundation Models cites this paper.

ZISVFM: Zero-Shot Object Instance Segmentation in Indoor Robotic Environments with Vision Foundation Models Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 34

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unresolved
no resolver link, observed 2026-08-09T05:23:20.257724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:23:20.257724Z digest=sha256:4357861a37bd4955aec63bb3bbd19935dfc5c66ad20c073d2848d38b413c0a92

Observation a2f3cd5c-ebd1-4b6e-b04e-8adc29b691b7 · inbound

Predictive Red Teaming: Breaking Policies Without Breaking Robots cites this paper.

Predictive Red Teaming: Breaking Policies Without Breaking Robots Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 50

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unresolved
no resolver link, observed 2026-08-08T15:04:10.912443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T15:04:10.912443Z digest=sha256:e5a22f623646d36b2f1d690a88cbe2659af6bf4b1fe7def066b4aa900a0e5749

Observation e1ee93ca-0f3a-494c-acc8-8331f9bc387f · inbound

SAGI: Semantically Aligned and Uncertainty Guided AI Image Inpainting cites this paper.

SAGI: Semantically Aligned and Uncertainty Guided AI Image Inpainting Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-08T15:01:40.045189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T15:01:40.045189Z digest=sha256:ce14ee13fbf089c79db527a67a67f6b128993cb6b695a0eba154709001706624

Observation 223e78f5-7d9e-47c8-8291-4086f19121d8 · inbound

Towards Fine-grained Interactive Segmentation in Images and Videos cites this paper.

Towards Fine-grained Interactive Segmentation in Images and Videos Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-08T10:16:59.208911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T10:16:59.208911Z digest=sha256:fa586925eb60878fcf1b00dbfb66dedb301371b702dd9f7888cfee87a39d264d

Observation 3661fcb4-051f-4421-bca7-67c09c2e2f7f · inbound

ARAP-GS: Drag-driven As-Rigid-As-Possible 3D Gaussian Splatting Editing with Diffusion Prior cites this paper.

ARAP-GS: Drag-driven As-Rigid-As-Possible 3D Gaussian Splatting Editing with Diffusion Prior Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-16T12:26:22.184143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:26:22.184143Z digest=sha256:215c5401ca84c782ff81baa050f03b5567afcd5fca6ab284200a584055b8df58

Observation 76db985f-f810-48e2-b15f-ec89fb83bd4f · inbound

COCO-Inpaint: A Benchmark for Detecting and Localizing Inpainting-Based Image Manipulations cites this paper.

COCO-Inpaint: A Benchmark for Detecting and Localizing Inpainting-Based Image Manipulations Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 71

Resolution
verified exact
arxiv_id, observed 2026-05-22T17:51:54.473030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T17:51:40.120648Z digest=sha256:38901a522c9671d464d9c1c5a4b1f4dd242e475a4b0f6726ed84b1ede115f7a2

Observation 041eb16d-2f38-4db5-a17d-8deb554b4ecc · inbound

Detecting and Mitigating Hateful Content in Multimodal Memes with Vision-Language Models cites this paper.

Detecting and Mitigating Hateful Content in Multimodal Memes with Vision-Language Models Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 44

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unresolved
no resolver link, observed 2026-08-16T04:55:28.307144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:55:28.307144Z digest=sha256:6c8874e58133432c47a6e0cb53adac91fc4408d7edb84d3581b9cbe5c17cf770

Observation 324b6208-bae3-4bb9-84e8-80379bb7fe7a · inbound

SuperEdit: Rectifying and Facilitating Supervision for Instruction-Based Image Editing cites this paper.

SuperEdit: Rectifying and Facilitating Supervision for Instruction-Based Image Editing Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 57

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unresolved
no resolver link, observed 2026-08-16T00:58:58.817719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:58:58.817719Z digest=sha256:df6aa64dd2b7c7d6cef949fe0edf5c7e0e986158b5ec378947fce78f6a1d1dfe

Observation 1d6bce0e-6d33-4b52-8fd6-b4c73e78aab6 · inbound

Corner Cases: How Size and Position of Objects Challenge ImageNet-Trained Models cites this paper.

Corner Cases: How Size and Position of Objects Challenge ImageNet-Trained Models Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-15T23:53:56.698553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:53:56.698553Z digest=sha256:3bea3e1165796d7e6245af473ec5a96a1f2d88cc34c85ef6b0b33b1a6f5f3a9d

Observation 787bf301-e803-47f2-b5b6-1c9c5888e9f7 · inbound

CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting cites this paper.

CaRaFFusion: Improving 2D Semantic Segmentation with Camera-Radar Point Cloud Fusion and Zero-Shot Image Inpainting Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-15T23:49:46.897454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:49:46.897454Z digest=sha256:87b6a34f8471d1efd3c48c307269633725119f63f5f21e67d3afbb04575016cb

Observation c3a10c91-84bb-4db8-a454-2bc187027e6d · inbound

Mix-QSAM: Mixed-Precision Quantization of the Segment Anything Model cites this paper.

Mix-QSAM: Mixed-Precision Quantization of the Segment Anything Model Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-15T23:28:02.270591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:28:02.270591Z digest=sha256:b78f5c51a475f9de3270c72b9afcb2ddc07eb49511fed33870cf2e4a612af5e3

Observation fa80f5d2-cdb1-42fb-b4a9-f2f5c99216e2 · inbound

Pro2SAM: Mask Prompt to SAM with Grid Points for Weakly Supervised Object Localization cites this paper.

Pro2SAM: Mask Prompt to SAM with Grid Points for Weakly Supervised Object Localization Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-15T23:24:09.104857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:24:09.104857Z digest=sha256:342fd1b6754c53702cac0bc04869cac845a7af0ce9148db4c62b6dfac8e39b94

Observation 9f380d45-e685-42d4-a4ae-f090f7d8e1ab · inbound

Removing Watermarks with Partial Regeneration using Semantic Information cites this paper.

Removing Watermarks with Partial Regeneration using Semantic Information Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 20

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no resolver link, observed 2026-08-15T22:06:02.042886Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:06:02.042886Z digest=sha256:b804fbaf20a23f68bcb6c478bfccc0773e62923b0acc8a87bd31a35213f39ca2

Observation 4667c335-9ec7-4560-92f8-97203611da9d · inbound

Promoting SAM for Camouflaged Object Detection via Selective Key Point-based Guidance cites this paper.

Promoting SAM for Camouflaged Object Detection via Selective Key Point-based Guidance Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 37

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no resolver link, observed 2026-08-15T21:44:06.072607Z

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source=pdf_text observed=2026-08-15T21:44:06.072607Z digest=sha256:697775d54dcb737c2b3904ceaff178ef4eafce153977906fc979655d1c52e7bc

Observation 312d399a-c461-49a5-bbb3-14f083c7a41e · inbound

Incorporating Visual Correspondence into Diffusion Model for Virtual Try-On cites this paper.

Incorporating Visual Correspondence into Diffusion Model for Virtual Try-On Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 69

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no resolver link, observed 2026-08-07T14:55:33.198566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:55:33.198566Z digest=sha256:137b098b01e243532071a3b9516356b90dad8007c332142a88eab133f5a54035

Observation 44b1035f-5a91-4712-bb75-ae3202bff9c5 · inbound

DiffDecompose: Layer-Wise Decomposition of Alpha-Composited Images via Diffusion Transformers cites this paper.

DiffDecompose: Layer-Wise Decomposition of Alpha-Composited Images via Diffusion Transformers Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 69

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no resolver link, observed 2026-08-07T14:29:21.419857Z

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source=pdf_text observed=2026-08-07T14:29:21.419857Z digest=sha256:3b02fee97a173627a86d01fef1eda3b200f245cc2bab697cc0a59108e3028a28

Observation 3bf683d3-39ef-42c1-b306-20f03ac1fd9a · inbound

Identity-Preserving Text-to-Image Generation via Dual-Level Feature Decoupling and Expert-Guided Fusion cites this paper.

Identity-Preserving Text-to-Image Generation via Dual-Level Feature Decoupling and Expert-Guided Fusion Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 65

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no resolver link, observed 2026-08-07T13:14:52.264580Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:14:52.264580Z digest=sha256:b7248040a88eb094381041831da06e87450f384dc49542a7eece6779da5f0472

Observation 8ed334a5-414c-400e-a34a-295c060c25ef · inbound

ArtiScene: Language-Driven Artistic 3D Scene Generation Through Image Intermediary cites this paper.

ArtiScene: Language-Driven Artistic 3D Scene Generation Through Image Intermediary Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-07T12:04:15.580962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:04:15.580962Z digest=sha256:a2746ee3815391879d791f52270c133c9909cfede26168d4918b97feaafc4a62

Observation bdb4e7b5-da5e-4fe7-81e6-561cbfa25dde · inbound

RefEdit: A Benchmark and Method for Improving Instruction-based Image Editing Model on Referring Expressions cites this paper.

RefEdit: A Benchmark and Method for Improving Instruction-based Image Editing Model on Referring Expressions Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 45

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unresolved
no resolver link, observed 2026-08-07T11:07:56.757927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:07:56.757927Z digest=sha256:2a34baa76fcebbbd2eeda5106533bd429057095a6bd4427edd9bafea72816c65

Observation 2691f9d9-b4e3-4b37-bda2-a73f5c1e1f0d · inbound

Towards Reliable Identification of Diffusion-based Image Manipulations cites this paper.

Towards Reliable Identification of Diffusion-based Image Manipulations Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-07T10:25:36.540530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:25:36.540530Z digest=sha256:b3be3d2d7882ad1d690a37be12f812fb7aed048280fd352c29092a3299b16017

Observation 2f552ae4-e846-47c5-9b39-ab45dcfc95c9 · inbound

PairEdit: Learning Semantic Variations for Exemplar-based Image Editing cites this paper.

PairEdit: Learning Semantic Variations for Exemplar-based Image Editing Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 66

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no resolver link, observed 2026-08-07T05:29:15.242719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:29:15.242719Z digest=sha256:784c9b7a9bad5a8f7080776f5bfceff633cfc14458adf101ecb6185bb36bba7b

Observation 7583e2b9-fcc4-486a-9f61-f34a0c960468 · inbound

FocalClick-XL: Towards Unified and High-quality Interactive Segmentation cites this paper.

FocalClick-XL: Towards Unified and High-quality Interactive Segmentation Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 33

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no resolver link, observed 2026-08-15T19:54:23.850697Z

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source=pdf_text observed=2026-08-15T19:54:23.850697Z digest=sha256:6abcf0506686750158a12756027518e8d7a1a04ee96ef60b7a2ab754d4f45b5b

Observation 27435b10-0bc6-43c6-8871-6e4f81191b87 · inbound

Preserve Anything: Controllable Image Synthesis with Object Preservation cites this paper.

Preserve Anything: Controllable Image Synthesis with Object Preservation Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 45

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no resolver link, observed 2026-08-06T22:12:49.062377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:12:49.062377Z digest=sha256:eec28850d5b0094a9053d800f6134db1d11a509cfe008ff5f2325439443eab1e

Observation d513a089-e751-49a0-a4ff-6df2e5a27232 · inbound

ViRefSAM: Visual Reference-Guided Segment Anything Model for Remote Sensing Segmentation cites this paper.

ViRefSAM: Visual Reference-Guided Segment Anything Model for Remote Sensing Segmentation Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 45

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no resolver link, observed 2026-08-06T20:40:06.581223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:40:06.581223Z digest=sha256:28feaab645c9ea892f7857f0d7769fae684764dc9de67789f802f161a9a0b82e

Observation 226ee0c3-bb86-48ff-b75c-d3f83572a73c · inbound

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot cites this paper.

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 72

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no resolver link, observed 2026-08-06T20:04:38.281526Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:04:38.281526Z digest=sha256:66f4cbb7bade82be52811fbd790ac67d60c9e31122cbf521233192967978fb09

Observation c94d1f8d-1de7-4b98-9ff5-f2a5f561a4ad · inbound

SceneLoom: Communicating Data with Scene Context cites this paper.

SceneLoom: Communicating Data with Scene Context Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 75

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no resolver link, observed 2026-08-06T15:12:51.180187Z

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source=pdf_text observed=2026-08-06T15:12:51.180187Z digest=sha256:cedf502934a410e58978a0f19d07bd2c79a5ebe93b701b268ee32b76f5805e99

Observation bc5ed525-7774-4a1f-926e-ed3771545a4a · inbound

MagicHOI: Leveraging 3D Priors for Accurate Hand-object Reconstruction from Short Monocular Video Clips cites this paper.

MagicHOI: Leveraging 3D Priors for Accurate Hand-object Reconstruction from Short Monocular Video Clips Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 85

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no resolver link, observed 2026-08-05T23:23:04.095607Z

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source=pdf_text observed=2026-08-05T23:23:04.095607Z digest=sha256:a7345db39cb67816edb19685fb198e527c31ea30091c40267abdf6cd2f5eb8b6

Observation 473c1fab-823e-4914-a53f-5384d822fb55 · inbound

GenTune: Toward Traceable Prompts to Improve Controllability of Image Refinement in Environment Design cites this paper.

GenTune: Toward Traceable Prompts to Improve Controllability of Image Refinement in Environment Design Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 136

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no resolver link, observed 2026-08-05T18:05:46.853214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:05:46.853214Z digest=sha256:b18576dd6d8d469beed18af8fba7faa4f60a51918bf194532d37560bbc934a10

Observation 28965bed-f844-46dd-8ee3-3dd424091caf · inbound

Neural Scene Designer: Self-Styled Semantic Image Manipulation cites this paper.

Neural Scene Designer: Self-Styled Semantic Image Manipulation Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 51

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unresolved
no resolver link, observed 2026-08-05T12:39:05.483020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:39:05.483020Z digest=sha256:12f60d8f818d50ed854ad9f73dba7147c155ba63941cff3a96ef5f4a4c6c1eca

Observation d2750231-0875-44bd-9b77-e699a032946e · inbound

2D Gaussian Splatting with Semantic Alignment for Image Inpainting cites this paper.

2D Gaussian Splatting with Semantic Alignment for Image Inpainting Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 49

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unresolved
no resolver link, observed 2026-08-05T12:06:36.268610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T12:06:36.268610Z digest=sha256:66fc1986e99f8288a0add3f671a99c6a27cea44b55d62b20de236531e9cdb695

Observation 8eec8815-3a5b-478a-b2a9-a44f6e7e12ce · inbound

EfficientIML: Efficient High-Resolution Image Manipulation Localization cites this paper.

EfficientIML: Efficient High-Resolution Image Manipulation Localization Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 24

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unresolved
no resolver link, observed 2026-08-04T20:28:34.002336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:28:34.002336Z digest=sha256:dd993d536a988afe7e0328abc4266fe2d53bb23b1efaccfc4cc2ea62215b7e3a

Observation 0e3aaa74-84a3-4668-bff9-b9523928957e · inbound

GENA3D: Generative Amodal 3D Modeling by Bridging 2D Priors and 3D Coherence cites this paper.

GENA3D: Generative Amodal 3D Modeling by Bridging 2D Priors and 3D Coherence Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 80

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unresolved
no resolver link, observed 2026-08-03T19:58:40.364104Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T19:58:40.364104Z digest=sha256:fe37f663d51ffa4be359c16abbf40830254f5e731fda9daeb69aeeeaf565a817

Observation 1d383dc8-6808-4924-b1d0-a91df2bb26b6 · inbound

IGen: Scalable Data Generation for Robot Learning from Open-World Images cites this paper.

IGen: Scalable Data Generation for Robot Learning from Open-World Images Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 66

Resolution
verified exact
arxiv_id, observed 2026-05-17T02:58:54.796083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-17T02:58:36.214948Z digest=sha256:ae01dc5a09854d4a1bb8c3bd980a58d4feecca973955366244cc7e6fa492205a

Observation 58e61386-d1c2-44ca-937c-4e288adbc759 · inbound

Automated Annotation of Shearographic Measurements Enabling Weakly Supervised Defect Detection cites this paper.

Automated Annotation of Shearographic Measurements Enabling Weakly Supervised Defect Detection Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 26

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metadata mismatch
arxiv_id, observed 2026-05-17T00:21:23.684484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-17T00:19:31.834944Z digest=sha256:18d1eb6dba509af8fa2f6483fda8fba16b9a8246a932f2f16c1b47ce93defc85

Observation ae52c37a-1778-4324-870b-ccaa73e0eb7a · inbound

Glove2Hand: Synthesizing Natural Hand-Object Interaction from Multi-Modal Sensing Gloves cites this paper.

Glove2Hand: Synthesizing Natural Hand-Object Interaction from Multi-Modal Sensing Gloves Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 73

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unresolved
no resolver link, observed 2026-07-13T21:11:31.022938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T21:11:31.022938Z digest=sha256:6206a23fd78b43902aaefa79ee637c9cc60baae47d596fecd15f051f51858bda

Observation 0cc85aa4-98d7-4af9-8ac0-6b00be07a39c · inbound

WARPED: Wrist-Aligned Rendering for Robot Policy Learning from Egocentric Human Demonstrations cites this paper.

WARPED: Wrist-Aligned Rendering for Robot Policy Learning from Egocentric Human Demonstrations Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 121

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metadata mismatch
arxiv_id, observed 2026-05-11T11:01:02.499068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T15:14:24.932972Z digest=sha256:65b2f688636343e558d0cf36a58826a514a21423fb86db32a0b0e6890b15e602

Observation 5b012b1f-9171-4f57-9e44-da2f362676c1 · inbound

DiffusionPrint: Learning Generative Fingerprints for Diffusion-Based Inpainting Localization cites this paper.

DiffusionPrint: Learning Generative Fingerprints for Diffusion-Based Inpainting Localization Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:56:01.383974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T15:45:23.403164Z digest=sha256:e5cc4555527ceb0ae3d7a91765b4c0eb9fa0c8d5c39c676d348eaff891c02fa1

Observation e4763603-1535-4848-aa77-406dbffcd597 · inbound

Delta-Adapter: Scalable Exemplar-Based Image Editing with Single-Pair Supervision cites this paper.

Delta-Adapter: Scalable Exemplar-Based Image Editing with Single-Pair Supervision Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:40:53.931349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T03:33:50.738264Z digest=sha256:801c561328f685f39b7917bd35365d6df6d7f74df150407be4e5be54b7a72370

Observation 0fa219f5-773b-441d-b6e0-19ac45354ae1 · inbound

RevealLayer: Disentangling Hidden and Visible Layers via Occlusion-Aware Image Decomposition cites this paper.

RevealLayer: Disentangling Hidden and Visible Layers via Occlusion-Aware Image Decomposition Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-13T07:47:32.703280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-13T07:46:50.540528Z digest=sha256:8c8d08066d17bb1a23ea38f00f6726fa7491a2549e9c30aa706fdba29b1ab20b

Observation 3923af31-ddcc-4b6d-ac31-3a1de891bc18 · inbound

ClickRemoval: An Interactive Open-Source Tool for Object Removal in Diffusion Models cites this paper.

ClickRemoval: An Interactive Open-Source Tool for Object Removal in Diffusion Models Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:48:33.217210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-15T02:47:36.481658Z digest=sha256:18bb0d7a25d1b2d036f25ea6ee6d63a2644203a95f84d79cc62374ac02a042d5

Observation f19f2628-40e3-4d29-a4ab-22dac07e66c7 · inbound

Flow-Based Generative Modeling for Optimizing Sampling Policies in Compressed Sensing Applications cites this paper.

Flow-Based Generative Modeling for Optimizing Sampling Policies in Compressed Sensing Applications Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-06-30T15:54:48.824482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-30T15:52:48.751172Z digest=sha256:a044a023f4f1c7af9f8712a225a7f3eb820d1a76d553acf59e0bee18f7e925ed

Observation d1354508-ae6b-494f-a706-bbb4d3c9beb1 · inbound

SAM-Flow: Source-Anchored Masked Flow for Training-Free Image Editing cites this paper.

SAM-Flow: Source-Anchored Masked Flow for Training-Free Image Editing Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 35

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T12:06:56.069665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-28T02:26:31.903211Z digest=sha256:e39c3b227d4f75f51a456063d34051aa012183f92c04c3f0404dfa87f9920056

Observation ce0b27b2-3384-4484-8d39-85e430973922 · inbound

EgoEngine: From Egocentric Human Videos to High-Fidelity Dexterous Robot Demonstrations cites this paper.

EgoEngine: From Egocentric Human Videos to High-Fidelity Dexterous Robot Demonstrations Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-07-03T11:38:05.078132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-27T09:27:43.453005Z digest=sha256:96ac260808154fdf93014b1c4956ee79dffe61cca9aed666f0c95a40a62a6c5c

Observation 68de672f-08db-4624-b4e6-087272f29b72 · inbound

GASE: Gaussian Splatting-Based Automated System for Reconstructing Embodied-Simulation Environments cites this paper.

GASE: Gaussian Splatting-Based Automated System for Reconstructing Embodied-Simulation Environments Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 85

Resolution
verified exact
arxiv_id, observed 2026-07-03T21:08:57.893572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-27T00:57:02.382938Z digest=sha256:8da813399037c54ff459ecdc01b91b35cb18c8ba4ffe10a16dc22e0c1866a9b8

Observation 0e330c0a-4be8-4a10-bfff-0fbe1efacc17 · inbound

TeleMorpher: Toward Robust Simultaneous Motion-Location Editing cites this paper.

TeleMorpher: Toward Robust Simultaneous Motion-Location Editing Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-07-04T03:29:29.514149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-26T18:05:53.625489Z digest=sha256:96cfd3eb3d32899ae440bbec1d5d8414bbc533ed580b7f74d8688c2511129996

Observation fa6b06cd-ff5c-4370-8daf-88fc45676fd8 · inbound

ZMIS-SAM: Segment Anything Model Enhanced with Wavelet Transform for Zooplankton Microscopy Image Instance Segmentation cites this paper.

ZMIS-SAM: Segment Anything Model Enhanced with Wavelet Transform for Zooplankton Microscopy Image Instance Segmentation Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-01T05:13:24.153190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T05:13:24.153190Z digest=sha256:25bcf854db2c47daa4ceca658f3ab2d79d35e1d3daafffc780784b8be3195cc4

Observation e58b3ccf-7201-4dab-ae1b-e511eb8647b0 · inbound

GOPI: Generation-Oriented 3D Pose Inference for Furniture Insertion from Single-View RGB-D Indoor Scenes cites this paper.

GOPI: Generation-Oriented 3D Pose Inference for Furniture Insertion from Single-View RGB-D Indoor Scenes Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-10T19:59:50.172441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:59:50.172441Z digest=sha256:e1444350b51ee7ebf1b66d80c4f00524f208b92c86d50262dab955df8afb59a8

Observation 04804b1e-26cf-496a-9740-2140002da8b8 · inbound

A Generative Approach for Improving Multi-Label Defect Classification in Photovoltaic Modules cites this paper.

A Generative Approach for Improving Multi-Label Defect Classification in Photovoltaic Modules Inpaint Anything: Segment Anything Meets Image Inpainting

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-16T00:45:19.400539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:45:19.400539Z digest=sha256:8b45dd5ec251adc50139e5b79812da1cabf4a83e892a344085402b50ed06dd6b