Pith. sign in

Paper Citation Record · LEDGER

SDMatte: Grafting Diffusion Models for Interactive Matting

As of 18 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 2026-08-18T06:34:40.430872+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
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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

Resolution
unresolved
no resolver link, observed 2026-08-06T10:15:05.858177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:15:05.858177Z digest=sha256:e1d578c32f50a51bfac08fd0e8e16dcc067c8184f02bdeb2a27160c462e2c393

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

Resolution
verified fuzzy
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:15:05.862801Z digest=sha256:5eb5f1afe20ed22ea7fca29f2549affe1bb15a335b80f8226d1cb40b247a47f8

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

Resolution
unresolved
no resolver link, observed 2026-08-06T10:15:05.866126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:15:05.866126Z digest=sha256:b07a5666c1abf83c6ebc573adea1c1a5024bdd617e6e68a98ae444ab3d53b366

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

Resolution
unresolved
no resolver link, observed 2026-08-06T10:15:05.869582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:15:05.869582Z digest=sha256:827e0486acfd1992f252a5047039acc10fd82a3e5db09f23bb8ab1de01db0591

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

Resolution
verified fuzzy
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:15:05.872754Z digest=sha256:032acbebc99f099c61fe405cee2c827a6dec90babb640ebe284e148bfce52762

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

Resolution
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:15:05.875938Z digest=sha256:8d8140c4a68882614479e428d3f51c0f1f1b9ff295aba1f391a13a6b39cb3bbd

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

Resolution
verified fuzzy
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:15:05.880197Z digest=sha256:c9c4b75aae6293b564203b4a2bbb6fa31e1d5c0fc2c07d49fb862e890c1f3158

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

Resolution
unresolved
no resolver link, observed 2026-08-06T10:15:05.883289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:15:05.883289Z digest=sha256:e37be7a3bacb05ae3151735334e9a8a7b6fddbd10c0451ed15dedb017f3be446

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

Resolution
unresolved
no resolver link, observed 2026-08-06T10:15:05.887340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:15:05.887340Z digest=sha256:b8151fd9a64a082afd98c066cc2c5ec4ef9a8d5e2fed32d0be497ea22ca188e3

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

Resolution
verified fuzzy
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:15:05.890490Z digest=sha256:749f6a35d5e5123df4079e952ba4fc2c400f25e631229a21584db8e328f0b35b

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

Resolution
verified fuzzy
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:15:05.893575Z digest=sha256:915184783578b7099fc4cc2e6ec31cbadf7fa6e166bbbee7790cf5f6dcc88f45

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

Resolution
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:15:05.896469Z digest=sha256:b5da432ec18316c2893817690f179f16ed47b3b7d5fb97b6c8b43dbc6935763b

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

Resolution
verified fuzzy
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:15:05.899330Z digest=sha256:ee6837c1fe8c261baf279bd470585b74c30d0267e291941a4c84bc6531d9c6ed

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

Resolution
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:15:05.902169Z digest=sha256:e850ab34c4c64f69cb9af20d141a3b3c9e8f9cae3974845ea7581e5dae5dc257

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

Resolution
verified fuzzy
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:15:05.905350Z digest=sha256:23b9d261cede409c133539b2fa07e0e30749e4a551806d8519af0b40bfea5f74

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

Resolution
unresolved
no resolver link, observed 2026-08-06T10:15:05.908166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:15:05.908166Z digest=sha256:90eb73d0eda6e60660a43b138988f3cbf1153e0435ef69187bf39fd955cb2065

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

Resolution
unresolved
no resolver link, observed 2026-08-06T10:15:05.911306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:15:05.911306Z digest=sha256:179c16a8f4356eedc7bf61d304acdb2f7676ab5b0562638caa0f88ea415e804f

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

Resolution
verified fuzzy
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:15:05.914213Z digest=sha256:82dacfac2ea8290bb73aa33d6ba801fed4ed884abaccae678fc425085d6ab31f

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

Resolution
unresolved
no resolver link, observed 2026-08-06T10:15:05.917921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:15:05.917921Z digest=sha256:e0f6b5d46f3f0eda0b523b0c85bfa1b3d033c369ea4b5612cc59f98f663f6f31

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

Resolution
verified fuzzy
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:15:05.920747Z digest=sha256:f8d76716b16261d6fcb0b529044f1940640ba191f4b6b3663c66a3445b4ade20

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

Resolution
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:15:05.923604Z digest=sha256:3914d02aab5262cdbaf50f632bfb2b4e19d574c6c0fa789f9925e95b55a80fc0

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

Resolution
unresolved
no resolver link, observed 2026-08-06T10:15:05.926478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:15:05.926478Z digest=sha256:8e73d1681e545c32c749870b7825f52ec4dea449db274d6e6a671cb484527065

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

Resolution
unresolved
no resolver link, observed 2026-08-06T10:15:05.930188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:15:05.930188Z digest=sha256:a528a115296193e1ee9cdcc4ca24d934086c405b8d1386f499ca5bce44843a23

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

Resolution
verified fuzzy
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:15:05.933567Z digest=sha256:2c7962c36baabb1d8aff6a506494bef599b119c18679d33c085dfdc821cf20d0

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

Resolution
verified fuzzy
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:15:05.936444Z digest=sha256:a5e8030566772a984c9251d8fbc6291c9f51330346cd718034875e4e03c6bdcb

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

This paper cites Matting anything.

SDMatte: Grafting Diffusion Models for Interactive Matting Matting anything

Reference 26

Resolution
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:15:05.939349Z digest=sha256:442d68dc8e4be157789091ccad7bb432bf9076261cd31dbc3e5153b17148954e

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

Resolution
verified fuzzy
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:15:05.942303Z digest=sha256:ec93f4fbe051290b5abd6740f092e326132240d8b807122caf6eeb63bb8ec446

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

Resolution
unresolved
no resolver link, observed 2026-08-06T10:15:05.945322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:15:05.945322Z digest=sha256:d1b74499e7335eb32ef6529099ce871f06291d2fdefdecebff9811b4027fcd80

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

Resolution
unresolved
no resolver link, observed 2026-08-06T10:15:05.948947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:15:05.948947Z digest=sha256:ce1a4431482a1910eb3c4620719c6a1968ed62965ab4e72de9106c272b8bdfd2

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

Resolution
verified fuzzy
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:15:05.951941Z digest=sha256:a4c9e3518cb4367c65ba92d2d8e143fb89b920f49aa0d8a549a10d455b2727d4

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

Resolution
unresolved
no resolver link, observed 2026-08-06T10:15:05.955101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:15:05.955101Z digest=sha256:64c88fdcbf2e91e90b3ecb27452fa397fd6e6474cbbff3b827565fba14008436

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:15:05.958099Z digest=sha256:a41528d4edac157ec91cdd65e456648c65d00c32b50e27400ee9dd4215a2de73

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

Resolution
unresolved
no resolver link, observed 2026-08-06T10:15:05.960801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:15:05.960801Z digest=sha256:582cd789631ab0ebdf3142b31f3e81ecf12cb6f8a0bc8a4db8a807970ac69812

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

Resolution
verified fuzzy
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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:15:05.963873Z digest=sha256:0bc9a7aec2a04f4c59cbf4ba6d03a22305a32c0a86ab2dd7f26cab39a392ce1d

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

Resolution
unresolved
no resolver link, observed 2026-08-06T10:15:05.967564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:15:05.967564Z digest=sha256:df0adac91af2d71dac98e78c9cb7553fc8930a2fe84f5771b3760c553bedb191

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

Resolution
unresolved
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=sha256:73f97c7e6fbf1e2ba03806c82a088e265d31971bb51d9b9102236e2a1b8b337e

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:c0839eb77094bc8d8f1b77541b9715f2c7d967029339593b8990ef33bea5f1c2

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:15:05.977477Z digest=sha256:c61e73d46c59355a5dc867af993f2ac53e3be042b69176d33681ed203a65aceb

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:15:05.980589Z digest=sha256:7c54248c7ad3f324e857eebf7920ff4c8bdad34345ff1d0af48344d1d2d02af3

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:15:05.983585Z digest=sha256:8510d1edf054e224adbbc39686bf52d13ab6c54f58eaafd38e7621605cc54bd8

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:15:05.987215Z digest=sha256:0ca613a7c42653cd1a3dca4ee4ca9d2f6f272f6169c6a979303321bf0f5f8eee

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:15:05.990258Z digest=sha256:253868012d60baab6cfb7378be66257507c9e6b3fd5e1f5dc51fe9bd507b7996

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:15:05.993683Z digest=sha256:df2d4fb1162e6641f1258d719b01b73210927d2778b6db1a72e036fedac3a308

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:15:05.996825Z digest=sha256:b2c9dc29f088132c04b9035fd97148dc434d0a3806357530c40ea73acae3ae6a

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:aa9acecd563e1a954f7d956df921430d0f3038144265890b45e23cf626112a5c

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:15:06.003658Z digest=sha256:910c343e64eae03667857dc854b5ce60232d75054db295db0b8409a1e76b8c9c

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=sha256:110784816f7cad6ee5e65640a7b954753ff4888b824137647c7bd95b5576589c

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:15:06.009603Z digest=sha256:7c74e23e6106223f8c7287085b7bffa024ab2047bb2396ecce5c3f0925ef6799

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:15:06.012457Z digest=sha256:bdd4476e4af421ade01f19b4c14d91ef8284fbb9d58789eb5a1b4ab5179676cd

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:15:06.015318Z digest=sha256:4a4dd5151ab07c03fc93e542ee6fef3841c3c72b42f9c9ae3939abd46f0adc1a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:15:06.018271Z digest=sha256:9be054668a9be667957ea5446ea46a3f0ed351256afda84b28f46c78a4967e1b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:15:06.021189Z digest=sha256:aa3bdf737682b07e4faaac186adfff818463a789d6e5761dcd55f85be6b859ec

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=sha256:49fbb7da95b5836c6b4f88fa4595c237e0990c926caa1f044f87f529286f165f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:15:06.028192Z digest=sha256:d69c9d7882c16b73921fc8e33db911f3f64bc0330a86c6471be8bbbbc24bca11

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=sha256:19e6f06c9ef93148aa77408e578700bec2691f4cfffc823ac00f883ada14a750

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=sha256:64085d262736540106538ec80fcc3db61cbb29286f585a9954aca7ec68b559e0

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:15:06.037371Z digest=sha256:51173acdb6e69d0bd25c31edf62bb2948c5b180c2fd1524d1ec00a40d77300b9

Pith citing papers

No inbound Pith citation observations are available.