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Paper Citation Record · LEDGER

SDMatte: Grafting Diffusion Models for Interactive Matting

As of 8 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2508.00443.

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

pith.paper-citation-record.v1
2508.00443 v2

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:15:06.037371Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

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

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

57 of 57 outbound references displayed

  • verified exact2
  • verified fuzzy33
  • unresolved22
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9cf307e6-5d82-4240-93e0-365392fdbb7c · outbound

This paper cites SegDiff: Image Segmentation with Diffusion Probabilistic Models.

SDMatte: Grafting Diffusion Models for Interactive Matting SegDiff: Image Segmentation with Diffusion Probabilistic Models

Reference 1

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source=pdf_text observed=2026-08-06T10:15:05.858177Z digest=sha256:4901158cc07873380e50187936f7e219849a01f2c4251fac5cb5f10f77ecac28

Observation 05e36d44-8d60-4934-aa94-c80c87a3db24 · outbound

This paper cites taesd: A tiny autoen- coder for fast sampling of stable diffusion.

SDMatte: Grafting Diffusion Models for Interactive Matting taesd: A tiny autoen- coder for fast sampling of stable diffusion

Reference 2

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raw_fallback, observed 2026-08-06T10:15:06.550956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 61f0c3a5-cbcf-452c-b984-bd6db7da998e · outbound

This paper cites PP-Matting: High-Accuracy Natural Image Matting.

SDMatte: Grafting Diffusion Models for Interactive Matting PP-Matting: High-Accuracy Natural Image Matting

Reference 3

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Observation 5e234808-e116-475a-9169-0053058a63da · outbound

This paper cites Masked-attention mask transformer for universal image segmentation.

SDMatte: Grafting Diffusion Models for Interactive Matting Masked-attention mask transformer for universal image segmentation

Reference 4

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source=pdf_text observed=2026-08-06T10:15:05.869582Z digest=sha256:5322d65dc1b51af80b322b0304d2ce2b837301fbc570e52537111eec2adf6c7e

Observation cc0971cc-8743-4898-8a02-e407ec1e6c0b · outbound

This paper cites Scaling recti- fied flow transformers for high-resolution image synthesis.

SDMatte: Grafting Diffusion Models for Interactive Matting Scaling recti- fied flow transformers for high-resolution image synthesis

Reference 5

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raw_fallback, observed 2026-08-06T10:15:06.535984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation fe357142-d5a9-4ec5-a68d-f25074a3885f · outbound

This paper cites $F$, $B$, Alpha Matting.

SDMatte: Grafting Diffusion Models for Interactive Matting $F$, $B$, Alpha Matting

Reference 6

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verified exact
local_arxiv, observed 2026-08-06T10:15:06.192361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation f8ba508a-226a-4c1d-8ae0-9ca2899a0772 · outbound

This paper cites In-context matting.

SDMatte: Grafting Diffusion Models for Interactive Matting In-context matting

Reference 7

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raw_fallback, observed 2026-08-06T10:15:06.526775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T10:15:05.880197Z digest=sha256:6090fd61a522ab9cf36e5cc76e46067dc6de38d6c82a3db84750cd7ba5208ce8

Observation 7058f6e6-bbbf-4283-85c4-b23cad53acbe · outbound

This paper cites Classifier-Free Diffusion Guidance.

SDMatte: Grafting Diffusion Models for Interactive Matting Classifier-Free Diffusion Guidance

Reference 8

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source=pdf_text observed=2026-08-06T10:15:05.883289Z digest=sha256:9d58b6afbc0e80ecdf1992a228a1b7b2b6b03a168c8d2998673ba5e02e6c3e2d

Observation 37491345-ac7f-49e8-80b7-7d51920db740 · outbound

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

SDMatte: Grafting Diffusion Models for Interactive Matting Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 9

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source=pdf_text observed=2026-08-06T10:15:05.887340Z digest=sha256:29317abf9ffccc8beb80c89537d11684e039965756cb6423d45fc04c1f49bf08

Observation 6ff3c08b-4360-4a97-9d04-81c4549fc624 · outbound

This paper cites Diffumatting: Synthe- sizing arbitrary objects with matting-level annotation.

SDMatte: Grafting Diffusion Models for Interactive Matting Diffumatting: Synthe- sizing arbitrary objects with matting-level annotation

Reference 10

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raw_fallback, observed 2026-08-06T10:15:06.512388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T10:15:05.890490Z digest=sha256:7474114eb03d89aa25ae4de574d3fb35626aa53403a93888f6a4968c7376e118

Observation 72c34137-9df5-4bd6-b099-a5d26e2f3e9c · outbound

This paper cites Diffusion for natural image matting.

SDMatte: Grafting Diffusion Models for Interactive Matting Diffusion for natural image matting

Reference 11

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raw_fallback, observed 2026-08-06T10:15:06.502170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T10:15:05.893575Z digest=sha256:03e870b0890f7ad2d9f189f9561fcd65b675ae10ac0251cbaad4690c9da366e6

Observation 952da688-5bfe-49bf-9cb8-114f43aa8bdd · outbound

This paper cites Diffusion for natural image matting.

SDMatte: Grafting Diffusion Models for Interactive Matting Diffusion for natural image matting

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-06T10:15:06.493122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T10:15:05.896469Z digest=sha256:24f04ff8df66e46451c2e6e821c997a4db3099b981f7b11048923df6d526bf1f

Observation a0e39ad5-05f1-47e9-ac77-e4a217f6ffc1 · outbound

This paper cites Maggie: Masked guided gradual human in- stance matting.

SDMatte: Grafting Diffusion Models for Interactive Matting Maggie: Masked guided gradual human in- stance matting

Reference 13

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raw_fallback, observed 2026-08-06T10:15:06.482765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T10:15:05.899330Z digest=sha256:dde5bc2762d5e88e125ae915524933877eb58bf4913d77d661f4cca0c2c5d9c4

Observation 4cdfcc90-ae17-4d22-8d19-45e4a722e970 · outbound

This paper cites Ddp: Diffusion model for dense visual prediction.

SDMatte: Grafting Diffusion Models for Interactive Matting Ddp: Diffusion model for dense visual prediction

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-06T10:15:06.472973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 0b7ea66b-1c75-4f0d-8a1e-9d2a11bb8def · outbound

This paper cites Trimap-guided feature mining and fusion network for natural image matting.Computer Vision and Image Understanding, 230:103645, 2023.

SDMatte: Grafting Diffusion Models for Interactive Matting Trimap-guided feature mining and fusion network for natural image matting.Computer Vision and Image Understanding, 230:103645, 2023

Reference 15

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raw_fallback, observed 2026-08-06T10:15:06.462779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T10:15:05.905350Z digest=sha256:a4051bf27271214fa7bc7db438320773eb0de5c094102b1f1cd1caa31a475364

Observation 1cfe10af-cb50-433d-8465-a347b9453b0e · outbound

This paper cites Repurposing Stable Diffusion Attention for Training-Free Unsupervised Interactive Segmentation.

SDMatte: Grafting Diffusion Models for Interactive Matting Repurposing Stable Diffusion Attention for Training-Free Unsupervised Interactive Segmentation

Reference 16

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source=pdf_text observed=2026-08-06T10:15:05.908166Z digest=sha256:6d638ae2e42c3719f6f2f68ae94816798b80376ecb7991dd40cfccdb0cbdecc9

Observation bf6deaf8-8330-4dca-8c72-05c2ecd3aa29 · outbound

This paper cites Repurpos- ing diffusion-based image generators for monocular depth estimation.

SDMatte: Grafting Diffusion Models for Interactive Matting Repurpos- ing diffusion-based image generators for monocular depth estimation

Reference 17

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source=pdf_text observed=2026-08-06T10:15:05.911306Z digest=sha256:038b71da2bd37e3e39bee90fc169d3a272f752e3b6b80bd902621b52cf457809

Observation 2aebda73-c532-43e5-9c44-c0cb57c9d06f · outbound

This paper cites Segment anything in high qual- ity.Advances in Neural Information Processing Systems, 36: 29914–29934, 2023.

SDMatte: Grafting Diffusion Models for Interactive Matting Segment anything in high qual- ity.Advances in Neural Information Processing Systems, 36: 29914–29934, 2023

Reference 18

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raw_fallback, observed 2026-08-06T10:15:06.447544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T10:15:05.914213Z digest=sha256:4c463f380c0209176a041ce28b384dab6a0dc6b4aa964f6e63669d73bed4c05b

Observation 13966bfe-37b4-4f80-8138-b0fa18b4a068 · outbound

This paper cites Modnet: Real-time trimap-free portrait mat- ting via objective decomposition.

SDMatte: Grafting Diffusion Models for Interactive Matting Modnet: Real-time trimap-free portrait mat- ting via objective decomposition

Reference 19

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source=pdf_text observed=2026-08-06T10:15:05.917921Z digest=sha256:a183d83d5de9c7cf4a61203df6e27a9a4e97de39cfa6abec4a93776c32a5138f

Observation ccbff112-3a3b-4e1a-a96a-9d406109fa55 · outbound

This paper cites Bk-sdm: A lightweight, fast, and cheap ver- sion of stable diffusion.

SDMatte: Grafting Diffusion Models for Interactive Matting Bk-sdm: A lightweight, fast, and cheap ver- sion of stable diffusion

Reference 20

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raw_fallback, observed 2026-08-06T10:15:06.433322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T10:15:05.920747Z digest=sha256:7aae067115274ef6ca89170363597ceaa066a5ca5e62d901eb3be278fe2c54f0

Observation cd189a10-a428-4e79-924e-738d52ac3d3b · outbound

This paper cites Segment any- thing.

SDMatte: Grafting Diffusion Models for Interactive Matting Segment any- thing

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-06T10:15:06.423486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T10:15:05.923604Z digest=sha256:28165aa27f520dee4537d71c740cba5988b33ef6730562e601580c6e5312edc4

Observation 299c7089-4b1f-473a-80f7-a7cb4ebaaf56 · outbound

This paper cites Privacy- preserving portrait matting.

SDMatte: Grafting Diffusion Models for Interactive Matting Privacy- preserving portrait matting

Reference 22

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source=pdf_text observed=2026-08-06T10:15:05.926478Z digest=sha256:f2ee1d99409a295f1ea1dadc76d608ff7fc6aef463d3e95d48f1e980a9c0009d

Observation a6c4a31b-db10-4860-a64a-2fe736ec1374 · outbound

This paper cites Deep Automatic Natural Image Matting.

SDMatte: Grafting Diffusion Models for Interactive Matting Deep Automatic Natural Image Matting

Reference 23

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source=pdf_text observed=2026-08-06T10:15:05.930188Z digest=sha256:30c9b93566e9f3ba25bbd4ece363106f9f6c364c34e712c20451d579a68c9b1d

Observation 6640542e-2d1a-40e9-a779-5474fbd367a0 · outbound

This paper cites Bridging composite and real: towards end-to-end deep image matting.International Journal of Computer Vision, 130(2):246–266, 2022.

SDMatte: Grafting Diffusion Models for Interactive Matting Bridging composite and real: towards end-to-end deep image matting.International Journal of Computer Vision, 130(2):246–266, 2022

Reference 24

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raw_fallback, observed 2026-08-06T10:15:06.409624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 61d35158-0830-414e-a151-6ab51820f625 · outbound

This paper cites Referring im- age matting.

SDMatte: Grafting Diffusion Models for Interactive Matting Referring im- age matting

Reference 25

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raw_fallback, observed 2026-08-06T10:15:06.400338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T10:15:05.936444Z digest=sha256:3a4f578803267de6393796a8df91945e77fc7ba683d1eed8246c94b111a82a00

Observation fc32f8b3-23de-4473-a1dd-7b96ac475a24 · outbound

This paper cites Matting anything.

SDMatte: Grafting Diffusion Models for Interactive Matting Matting anything

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-06T10:15:06.391106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T10:15:05.939349Z digest=sha256:85c92e91390997d0a4ecff8a31c44a7825a2a6235160d3b8d4aba0efcd721df7

Observation e43e832d-d763-46b2-993a-4ee784152c39 · outbound

This paper cites Rethinking portrait matting with privacy preserving.

SDMatte: Grafting Diffusion Models for Interactive Matting Rethinking portrait matting with privacy preserving

Reference 27

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raw_fallback, observed 2026-08-06T10:15:06.382021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T10:15:05.942303Z digest=sha256:7cabefad911a0d7c7cd65f9068cdb83163883c36b66b9cae23d6b79ebde607fe

Observation fa0957e7-b74f-4644-b13d-4bced69f33cf · outbound

This paper cites Diffusion Models Beat GANs on Image Classification.

SDMatte: Grafting Diffusion Models for Interactive Matting Diffusion Models Beat GANs on Image Classification

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:15:05.945322Z digest=sha256:bfd32cb8e12c93f29f14baab26765b28b1abef8428b58beff12f3fee19655ebb

Observation 49a5bc73-c7ae-41b4-84b4-69e50ccb860f · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

SDMatte: Grafting Diffusion Models for Interactive Matting DINOv2: Learning Robust Visual Features without Supervision

Reference 29

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source=pdf_text observed=2026-08-06T10:15:05.948947Z digest=sha256:f29f8fb2770f883e6aed3dc6832472f91908e8f71dff2ae73d57721fdb128119

Observation 2034fdf8-b67e-47d3-b147-e873cf4b5c64 · outbound

This paper cites Mask-guided matting in the wild.

SDMatte: Grafting Diffusion Models for Interactive Matting Mask-guided matting in the wild

Reference 30

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raw_fallback, observed 2026-08-06T10:15:06.373347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T10:15:05.951941Z digest=sha256:c9d01be31b5758039209dd1093c31cd0e9e75a448532718be3916d88c0d9d496

Observation 31534f2f-d8f7-4169-8ae0-94c1bac22e3c · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

SDMatte: Grafting Diffusion Models for Interactive Matting SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 31

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:15:05.955101Z digest=sha256:f04ddafb8cc88c6c47998023f14f49fc29513e92da6f38a9a67b591e75064138

Observation 0d89c536-9826-4808-8b06-7496a04a2a45 · outbound

This paper cites Attention-guided hi- erarchical structure aggregation for image matting.

SDMatte: Grafting Diffusion Models for Interactive Matting Attention-guided hi- erarchical structure aggregation for image matting

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:15:06.364095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T10:15:05.958099Z digest=sha256:2752aff02676b2600c6992912710b92de5fff0ea1517d649e71fd6e3aa83ac3c

Observation 0daae920-ab4d-469a-897a-0f1752f04e64 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

SDMatte: Grafting Diffusion Models for Interactive Matting SAM 2: Segment Anything in Images and Videos

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:15:05.960801Z digest=sha256:65f11b2455abffa71c36d7615a77ce6eb4744f82a3254f85d4dbc8f2f8d286c4

Observation a43f5911-6cfe-4f43-ba07-8c452fc7e4e9 · outbound

This paper cites A perceptu- ally motivated online benchmark for image matting.

SDMatte: Grafting Diffusion Models for Interactive Matting A perceptu- ally motivated online benchmark for image matting

Reference 34

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raw_fallback, observed 2026-08-06T10:15:06.355205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T10:15:05.963873Z digest=sha256:7b8ff2de5fa9f9e0b6f1f96bd485c861f9524235ac6f8a5344df9c6f1a291a94

Observation dd719e28-4a7e-42f9-b78d-edb9fcb28eee · outbound

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

SDMatte: Grafting Diffusion Models for Interactive Matting High-resolution image synthesis with latent diffusion models

Reference 35

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source=pdf_text observed=2026-08-06T10:15:05.967564Z digest=sha256:f48fa02754eaf38a51ab3bf5f6ef66e15467643e52480a01e0f315f21ad7a2b2

Observation ab9a89a4-9fc2-479d-a661-ef5c6a7131d7 · outbound

This paper cites Palette: Image-to-image diffusion models.

SDMatte: Grafting Diffusion Models for Interactive Matting Palette: Image-to-image diffusion models

Reference 36

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no resolver link, observed 2026-08-06T10:15:05.970674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:15:05.970674Z digest=sha256:3a8b111565be2932c54a2d80410113475918bcf7131ddc9bf609c56682780697

Observation ed84535a-6406-4a10-9b84-156a8869f359 · outbound

This paper cites Denoising Diffusion Implicit Models.

SDMatte: Grafting Diffusion Models for Interactive Matting Denoising Diffusion Implicit Models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T10:15:05.973475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:15:05.973475Z digest=sha256:67625e5886c559d5d9ee287edb26cf8c8d807d6b36e5c3754755ec8fd76917cb

Observation 98a3e3df-56ee-4838-8e43-5f3d8a7e79f8 · outbound

This paper cites Semantic image matting: General and specific semantics.Interna- tional Journal of Computer Vision, 132(3):710–730, 2024.

SDMatte: Grafting Diffusion Models for Interactive Matting Semantic image matting: General and specific semantics.Interna- tional Journal of Computer Vision, 132(3):710–730, 2024

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:15:06.336048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T10:15:05.977477Z digest=sha256:f5422d28d18cc4c553dbed0af59d68ffc4ba9a69f4978f82317aa7a8b05ec271

Observation 48bd79fb-9dbf-4107-b8a1-aa2bf86c092b · outbound

This paper cites Learning-based sampling for natural image matting.

SDMatte: Grafting Diffusion Models for Interactive Matting Learning-based sampling for natural image matting

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:15:06.327445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T10:15:05.980589Z digest=sha256:7a218e52e52f8fd66917d0ebc92e73553cb023f44377fc1fced63fff6fe0f478

Observation 0b3e4d5c-e1d9-4f02-99c7-79a84675a60f · outbound

This paper cites Diffuse attend and segment: Un- supervised zero-shot segmentation using stable diffusion.

SDMatte: Grafting Diffusion Models for Interactive Matting Diffuse attend and segment: Un- supervised zero-shot segmentation using stable diffusion

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:15:06.318848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T10:15:05.983585Z digest=sha256:d3c2947dffccfbe5ead26a2befa945311369e1b7ad1d6f376367dcf7f8f764a9

Observation 00277a0a-3a47-4b3d-b5a7-180641803b7f · outbound

This paper cites Matting by gen- eration.

SDMatte: Grafting Diffusion Models for Interactive Matting Matting by gen- eration

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:15:06.310117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T10:15:05.987215Z digest=sha256:16c7983c611c251de4c9a07cec63a9be9f3f76fa4d278f5b3e1f1f541578a3a7

Observation 71ff9776-123e-4c01-9373-cfa56720835f · outbound

This paper cites Improved im- age matting via real-time user clicks and uncertainty estima- tion.

SDMatte: Grafting Diffusion Models for Interactive Matting Improved im- age matting via real-time user clicks and uncertainty estima- tion

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:15:06.301338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T10:15:05.990258Z digest=sha256:d1e8f7e5a406190b2f376eeb823270fd146fa0903592aa7abdeda18da35139dc

Observation 42ef574b-a183-4e18-af9a-7fd30f286693 · outbound

This paper cites Towards Natural Image Matting in the Wild via Real-Scenario Prior.

SDMatte: Grafting Diffusion Models for Interactive Matting Towards Natural Image Matting in the Wild via Real-Scenario Prior

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-08-06T10:15:06.112619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T10:15:05.993683Z digest=sha256:cec73b468dddcbd154c85b55964c31b174d3817f76a99d3a3fc35ec94fd4d372

Observation 31c357e1-814d-46b0-8e31-2bda6523af8d · outbound

This paper cites Pyramid grafting network for one- stage high resolution saliency detection.

SDMatte: Grafting Diffusion Models for Interactive Matting Pyramid grafting network for one- stage high resolution saliency detection

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:15:06.292708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T10:15:05.996825Z digest=sha256:bceeac0c27421e723409655f9db822f7600fdaf8f1a959982e584cc4b5e0209b

Observation 4fd770d9-716b-444a-b7dc-12a0205fbde5 · outbound

This paper cites What Matters When Repurposing Diffusion Models for General Dense Perception Tasks?.

SDMatte: Grafting Diffusion Models for Interactive Matting What Matters When Repurposing Diffusion Models for General Dense Perception Tasks?

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T10:15:06.000307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:15:06.000307Z digest=sha256:f6fe508bc91bc3e15fa487c6be438a30517b507609909b08c4a63d4c7d39c9fb

Observation 4881bcd1-c615-404c-9459-95aa9c6d1fc8 · outbound

This paper cites Deep image matting.

SDMatte: Grafting Diffusion Models for Interactive Matting Deep image matting

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:15:06.282923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T10:15:06.003658Z digest=sha256:e82ef9e925cb28bf396778ce7aad93472f698e7a78027c909e13083a98413a4d

Observation b9f7b599-9e6b-4c62-8419-17b99d624945 · outbound

This paper cites Exploring the Interactive Guidance for Unified and Effective Image Matting.

SDMatte: Grafting Diffusion Models for Interactive Matting Exploring the Interactive Guidance for Unified and Effective Image Matting

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T10:15:06.006599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:15:06.006599Z digest=sha256:0579ce021cafdce4bd4f433da3c34fca04e23f998162f6899f1a686322eafa53

Observation b21534d3-9f46-426c-9ef5-8b8b181ba5f7 · outbound

This paper cites Vitmatte: Boosting image matting with pre- trained plain vision transformers.Information Fusion, 103: 102091, 2024.

SDMatte: Grafting Diffusion Models for Interactive Matting Vitmatte: Boosting image matting with pre- trained plain vision transformers.Information Fusion, 103: 102091, 2024

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:15:06.274795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T10:15:06.009603Z digest=sha256:96da6ae62162eb1b78ad503fd3ec0675d2330f9f4f91bcce4c92b2402a07ef77

Observation 370440db-1a30-462d-9bfc-acc015668e6e · outbound

This paper cites Matte anything: Interactive natural image matting with seg- ment anything model.Image and Vision Computing, 147: 105067, 2024.

SDMatte: Grafting Diffusion Models for Interactive Matting Matte anything: Interactive natural image matting with seg- ment anything model.Image and Vision Computing, 147: 105067, 2024

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:15:06.265374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T10:15:06.012457Z digest=sha256:04e2b9b369675ae537026b015de3142e4a6205626788e87ca7a94c1279599be6

Observation 833ba54c-7b1a-4eb1-8ae1-7bb06a7d5e65 · outbound

This paper cites Diffusionedge: Diffusion probabilistic model for crisp edge detection.

SDMatte: Grafting Diffusion Models for Interactive Matting Diffusionedge: Diffusion probabilistic model for crisp edge detection

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:15:06.255745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T10:15:06.015318Z digest=sha256:156052d334bbd6dacc265b43dcc55e671a6ddd98416827c8f5da5279136b4c2f

Observation 10910e58-b3e0-4349-8170-f66586962c63 · outbound

This paper cites Unifying automatic and in- teractive matting with pretrained vits.

SDMatte: Grafting Diffusion Models for Interactive Matting Unifying automatic and in- teractive matting with pretrained vits

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:15:06.245558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T10:15:06.018271Z digest=sha256:a8fdf16c13ca147aa4410ec41956d8b3cfa0b2ed0d88a246ec8a9cd2eea98c66

Observation 84623289-dc25-4cb6-8782-eb966a71205f · outbound

This paper cites Mask guided matting via progressive refinement network.

SDMatte: Grafting Diffusion Models for Interactive Matting Mask guided matting via progressive refinement network

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:15:06.236378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T10:15:06.021189Z digest=sha256:5b7ec3b0c39d5edf5a4488a84ce4a010a7acd0d40b153439fd93099a840c8163

Observation 842b5d46-0830-425e-b4bc-68a2a3c1b613 · outbound

This paper cites High-Precision Dichotomous Image Segmentation via Probing Diffusion Capacity.

SDMatte: Grafting Diffusion Models for Interactive Matting High-Precision Dichotomous Image Segmentation via Probing Diffusion Capacity

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-06T10:15:06.024989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:15:06.024989Z digest=sha256:3f03628716a6ce163bcb456eaba1990c551cad65a39e92eb36507d2f1cf57cc4

Observation 95edc9bb-b067-49c6-b87e-113d3a189194 · outbound

This paper cites Primedepth: Efficient monocular depth estimation with a sta- ble diffusion preimage.

SDMatte: Grafting Diffusion Models for Interactive Matting Primedepth: Efficient monocular depth estimation with a sta- ble diffusion preimage

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:15:06.226846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T10:15:06.028192Z digest=sha256:a42170b35062314ad216e9251e3531d26a2962042ae8d8580ff026a448273ad2

Observation 962fd67f-0c9c-4de8-aa0c-c6312a5ba929 · outbound

This paper cites BetterDepth: Plug-and-Play Diffusion Refiner for Zero-Shot Monocular Depth Estimation.

SDMatte: Grafting Diffusion Models for Interactive Matting BetterDepth: Plug-and-Play Diffusion Refiner for Zero-Shot Monocular Depth Estimation

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-06T10:15:06.031127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:15:06.031127Z digest=sha256:dbd345857b6e2ca15c3610b5dc64a9cd63b4f41d1d4e1212fa2aa3e3c7db61c8

Observation 512fc390-e224-44ad-a521-237a11645c4b · outbound

This paper cites AR-1-to-3: Single Image to Consistent 3D Object Generation via Next-View Prediction.

SDMatte: Grafting Diffusion Models for Interactive Matting AR-1-to-3: Single Image to Consistent 3D Object Generation via Next-View Prediction

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-06T10:15:06.034187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:15:06.034187Z digest=sha256:5b4231370acc64dd65d993fe93c8042d7159a18442db70a6177e4ed162e01332

Observation dd489aba-ac36-4a93-868a-b3aca06f0e33 · outbound

This paper cites Sampling propagation attention with trimap gen- eration network for natural image matting.IEEE Transac- tions on Circuits and Systems for Video Technology, 33(10): 5828–5843, 2023.

SDMatte: Grafting Diffusion Models for Interactive Matting Sampling propagation attention with trimap gen- eration network for natural image matting.IEEE Transac- tions on Circuits and Systems for Video Technology, 33(10): 5828–5843, 2023

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:15:06.217537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T10:15:06.037371Z digest=sha256:2a09b0fcf752a6da9194e84558ad57cf9878bde38e9bfefd8ac2997892ecaf4c

Pith citing papers

No inbound Pith citation observations are available.