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Paper Citation Record · LEDGER

Video Virtual Try-on with Conditional Diffusion Transformer Inpainter

As of 7 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 1 inbound Pith citation observation for arXiv:2506.21270.

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

pith.paper-citation-record.v1
2506.21270 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:33:33.617642Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-20T18:05:54.603514Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T18:08:50.729202Z

Reference resolution

46 of 46 outbound references displayed

  • verified exact2
  • verified fuzzy30
  • unresolved14
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4da504b8-658f-49aa-9856-91d0382d0f45 · outbound

This paper cites Multimodal garment designer: Human-centric latent diffusion models for fashion image editing.

Video Virtual Try-on with Conditional Diffusion Transformer Inpainter Multimodal garment designer: Human-centric latent diffusion models for fashion image editing

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation c5fe83e3-5150-485e-873e-8f251aa87368 · outbound

This paper cites The 2019 DAVIS Challenge on VOS: Unsupervised Multi-Object Segmentation.

Video Virtual Try-on with Conditional Diffusion Transformer Inpainter The 2019 DAVIS Challenge on VOS: Unsupervised Multi-Object Segmentation

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T22:33:28.229378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:33:28.229378Z digest=sha256:93c88da12cd04d75db51545df7f66d2ea056d5ca1e99be66df20af2470fdfb6a

Observation 30c22c77-3ef0-47d7-a9ee-ba279a7bd374 · outbound

This paper cites Quo vadis, action recognition? a new model and the kinetics dataset, 2018.

Video Virtual Try-on with Conditional Diffusion Transformer Inpainter Quo vadis, action recognition? a new model and the kinetics dataset, 2018

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:33:38.648481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:33:28.364085Z digest=sha256:3930adfaaf2976a5a50516feb5ab26721f6033769228acf91876918fe0dad539

Observation 86abadc0-6f9b-4d0a-8f24-ad10a82f2273 · outbound

This paper cites Infusion: internal diffusion for inpainting of dynamic textures and complex motion.

Video Virtual Try-on with Conditional Diffusion Transformer Inpainter Infusion: internal diffusion for inpainting of dynamic textures and complex motion

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-06T22:33:34.048052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:33:28.466276Z digest=sha256:62ddbdc00377ef3f9ade0c53c1d9a58d64c3cc17edb1e7bc03969922cc190cf8

Observation b76e3d61-e6b4-422f-a27a-cf705e093132 · outbound

This paper cites Viton-hd: High-resolution virtual try-on via misalignment-aware normalization.

Video Virtual Try-on with Conditional Diffusion Transformer Inpainter Viton-hd: High-resolution virtual try-on via misalignment-aware normalization

Reference 5

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:33:28.583609Z digest=sha256:ae3513875e96b53cef8be75f3653ec76bb80482c83cb8904aa3ffc1d8ea6d388

Observation e4b0043b-bf53-4a9d-92b8-25817ed08c54 · outbound

This paper cites Mevis: A large-scale benchmark for video segmentation with motion expressions, 2023.

Video Virtual Try-on with Conditional Diffusion Transformer Inpainter Mevis: A large-scale benchmark for video segmentation with motion expressions, 2023

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:33:38.319265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:33:28.707724Z digest=sha256:4344dcf1b2fc6ee1b1eb2577e359591e98eb63cc8b5b8060ea090cea08304d24

Observation 5d566195-28f4-4269-8b78-4d66757409c2 · outbound

This paper cites Fw-gan: Flow-navigated warping gan for video virtual try-on.

Video Virtual Try-on with Conditional Diffusion Transformer Inpainter Fw-gan: Flow-navigated warping gan for video virtual try-on

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:33:38.137651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:33:28.820294Z digest=sha256:f18f08f64bd56d34648748e542b5305f0bcaf469f77623b30de3a0c0f13c8338

Observation 43963753-5b8a-4570-94bf-d7707685368b · outbound

This paper cites Vivid: Video virtual try-on using diffusion models.

Video Virtual Try-on with Conditional Diffusion Transformer Inpainter Vivid: Video virtual try-on using diffusion models

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:33:37.959635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:33:28.914502Z digest=sha256:8b717334c05f2c0bbd7167a761669ad2ad669c3515d5670e18ba44cf1b5a3a07

Observation 2ff9778c-5ad3-4847-82e6-c1865e718b57 · outbound

This paper cites Parser-free virtual try-on via distilling appearance flows.

Video Virtual Try-on with Conditional Diffusion Transformer Inpainter Parser-free virtual try-on via distilling appearance flows

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:33:37.773245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:33:29.024352Z digest=sha256:c2ab991f5a654a427d34baa318a5173cfe1f8aad793c341ff450667b6f6f2e8f

Observation fa92ef1f-77b5-4976-b5ae-ebf7ee28abb9 · outbound

This paper cites Parser-free virtual try-on via distilling appearance flows.

Video Virtual Try-on with Conditional Diffusion Transformer Inpainter Parser-free virtual try-on via distilling appearance flows

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:33:37.573227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:33:29.167956Z digest=sha256:b7738952d6ed6e31446ec7e88d4c3f0271225b66e0f145066d2479ab994df198

Observation 4fa4f9d1-50ad-4bf1-8ec1-8ce277cb7f73 · outbound

This paper cites Parser-free virtual try-on via distilling appearance flows, 2021.

Video Virtual Try-on with Conditional Diffusion Transformer Inpainter Parser-free virtual try-on via distilling appearance flows, 2021

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:33:37.358343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:33:29.287736Z digest=sha256:5d7267cb851281f58b4b79318cf4d1e0ae52ae06601322f9efd192cdfa5ec386

Observation 2e247f7b-bdb1-43ff-9a70-f9b6dcc59781 · outbound

This paper cites Taming the Power of Diffusion Models for High-Quality Virtual Try-On with Appearance Flow.

Video Virtual Try-on with Conditional Diffusion Transformer Inpainter Taming the Power of Diffusion Models for High-Quality Virtual Try-On with Appearance Flow

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T22:33:29.377884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:33:29.377884Z digest=sha256:9cefad6b406a676cfda2f55232793e07840454199f45dcd688a49914877825fa

Observation 82790a37-c18b-4bfb-9bd7-c7670d967064 · outbound

This paper cites Semantically Consistent Video Inpainting with Conditional Diffusion Models.

Video Virtual Try-on with Conditional Diffusion Transformer Inpainter Semantically Consistent Video Inpainting with Conditional Diffusion Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T22:33:29.485730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:33:29.485730Z digest=sha256:405c5a532b5284cb28bb92341306b567d1317726fc251e77c114f026daaaa31b

Observation d37e7bbd-e460-4ef1-a06f-4f0c2dfb65fc · outbound

This paper cites Flow-Guided Diffusion for Video Inpainting.

Video Virtual Try-on with Conditional Diffusion Transformer Inpainter Flow-Guided Diffusion for Video Inpainting

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-06T22:33:33.868933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:33:29.600770Z digest=sha256:f68872178f656ab042c93b72ddd051a12770995d76435639ab7f80573a71da7d

Observation c955eee1-e158-42e9-b18a-4584b5692b7a · outbound

This paper cites Animatediff: Animate your personalized text-to- image diffusion models without specific tuning.

Video Virtual Try-on with Conditional Diffusion Transformer Inpainter Animatediff: Animate your personalized text-to- image diffusion models without specific tuning

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:33:37.196980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:33:29.701986Z digest=sha256:2bc48cce01ce7c0456d536e29467a51a142ebfc69e9b1bf62b5bb0a946022d3e

Observation 0cf3e20f-8587-4baf-af58-07ddb0a992de · outbound

This paper cites Densepose: Dense human pose estimation in the wild, 2018.

Video Virtual Try-on with Conditional Diffusion Transformer Inpainter Densepose: Dense human pose estimation in the wild, 2018

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:33:37.069351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:33:29.812495Z digest=sha256:7c86ae16985e6d3e13b9b761d3c94c3fc267f39ea808ba503a8213cb4192e03f

Observation a2bac317-7c1b-4180-b086-88d980d18e2c · outbound

This paper cites Viton: An image-based virtual try-on network.

Video Virtual Try-on with Conditional Diffusion Transformer Inpainter Viton: An image-based virtual try-on network

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:33:36.927008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:33:29.946334Z digest=sha256:d060bad88d80d93a3dc97751342a098e0265e34007d5684ff4c8560e9948ccf5

Observation f85ceb3e-461f-4e2d-894d-91ee0ee06b8b · outbound

This paper cites Can spatiotemporal 3d cnns retrace the history of 2d cnns and imagenet?, 2018.

Video Virtual Try-on with Conditional Diffusion Transformer Inpainter Can spatiotemporal 3d cnns retrace the history of 2d cnns and imagenet?, 2018

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:33:36.766348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:33:30.045522Z digest=sha256:7fa3a8695cdb4cd3f4b02185aee92e47e99ce53b267fe43a751621ddc0c99742

Observation 1cdfd2c2-24cb-47fa-b02b-f12623b03e25 · outbound

This paper cites WildVidFit: Video Virtual Try-On in the Wild via Image-Based Controlled Diffusion Models.

Video Virtual Try-on with Conditional Diffusion Transformer Inpainter WildVidFit: Video Virtual Try-On in the Wild via Image-Based Controlled Diffusion Models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T22:33:30.153754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:33:30.153754Z digest=sha256:0a89ff1a356721c14b192cea848642e403e62d2f4a7b6f06d7d4a098804b90c4

Observation 8ae0c3fe-66ee-4a3d-b5f0-c6045e6d59b9 · outbound

This paper cites Lvos: A benchmark for large-scale long-term video object segmentation, 2024.

Video Virtual Try-on with Conditional Diffusion Transformer Inpainter Lvos: A benchmark for large-scale long-term video object segmentation, 2024

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:33:36.627797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:33:30.282570Z digest=sha256:6a7118e10b4b73488d5dca20d662bd1ea7d96ddec502457222753f308b0ecd4f

Observation c19bd4a9-60c4-4389-ad77-dd2c1a67c550 · outbound

This paper cites Do not mask what you do not need to mask: a parser-free virtual try-on.

Video Virtual Try-on with Conditional Diffusion Transformer Inpainter Do not mask what you do not need to mask: a parser-free virtual try-on

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:33:36.482460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:33:30.367598Z digest=sha256:6b1325cafd46c7011d4d6639c7d90e3341500695afd8305a7ffff67f50718355

Observation bed5dc4e-f542-44b2-809c-ccb53083ec32 · outbound

This paper cites Cloth- former: Taming video virtual try-on in all module.

Video Virtual Try-on with Conditional Diffusion Transformer Inpainter Cloth- former: Taming video virtual try-on in all module

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:33:36.354413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:33:30.498552Z digest=sha256:711f29ee6f58c70cc4bc46aefcdfded91c5871f9572df73a9c15f2fa54ecefc3

Observation df1e7e3f-843f-4dd4-87b8-45e8c909f101 · outbound

This paper cites Sapiens: Foundation for Human Vision Models.

Video Virtual Try-on with Conditional Diffusion Transformer Inpainter Sapiens: Foundation for Human Vision Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T22:33:30.636955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:33:30.636955Z digest=sha256:1aab412afa68da036c9ce18dfe5165c94a9b308e906ea8ab9b79c0c73a085030

Observation 5ec1507b-2488-4acd-9268-a597b80ff799 · outbound

This paper cites StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On.

Video Virtual Try-on with Conditional Diffusion Transformer Inpainter StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T22:33:30.776150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:33:30.776150Z digest=sha256:6c8ab1d542dbf182f75d971bcf63dd1811c348af41d3cd41fe8fab0844513371

Observation 030a11b4-a825-4188-9647-d1e400ead44d · outbound

This paper cites Stableviton: Learning semantic correspon- dence with latent diffusion model for virtual try-on.

Video Virtual Try-on with Conditional Diffusion Transformer Inpainter Stableviton: Learning semantic correspon- dence with latent diffusion model for virtual try-on

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:33:36.193538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation f118e0eb-ff22-4092-adaa-dd5111e58235 · outbound

This paper cites Open-sora-plan, 2024.

Video Virtual Try-on with Conditional Diffusion Transformer Inpainter Open-sora-plan, 2024

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:33:36.046597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:33:31.056768Z digest=sha256:f8c5902aaf96e6b993fd733f7a6d3d3d2cddb2c5e216d87dea90eba4d16270c2

Observation e52269dc-b746-4ea1-bd4c-bf5687db597b · outbound

This paper cites High-resolution virtual try-on with misalignment and occlusion-handled conditions.

Video Virtual Try-on with Conditional Diffusion Transformer Inpainter High-resolution virtual try-on with misalignment and occlusion-handled conditions

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:33:35.927669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:33:31.155436Z digest=sha256:2fe6a6ed03d8ce2c4b15a42239a23317dd4f4580b22128bf2aaaebc1747ba4a5

Observation dca791a6-3dfa-4bd4-a633-6cfb12d83e8f · outbound

This paper cites Latte: La- tent diffusion transformer for video generation.

Video Virtual Try-on with Conditional Diffusion Transformer Inpainter Latte: La- tent diffusion transformer for video generation

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:33:35.797280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:33:31.251033Z digest=sha256:3f941051f6515d7064bdb08da9bf86ca1522cdbd18beb06e5fb6166b70412a2f

Observation 834aaa02-2e77-4929-8cdf-730915ac3890 · outbound

This paper cites Dress code: high- resolution multi-category virtual try-on.

Video Virtual Try-on with Conditional Diffusion Transformer Inpainter Dress code: high- resolution multi-category virtual try-on

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:33:35.616540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:33:31.348309Z digest=sha256:54db4312b3b21b131d6779753fc807a4b5976c6efda57f4d486425de0920038c

Observation ece7d6be-8a9f-47b0-bd4d-1da9cb9f9281 · outbound

This paper cites LaDI- VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On.

Video Virtual Try-on with Conditional Diffusion Transformer Inpainter LaDI- VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:33:35.505553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:33:31.486573Z digest=sha256:7aa5d4dccb437183a07776af18b6564ee03aaaecd606825db9a6580ac3b44b17

Observation 30adfadd-e849-4094-9a9a-83579d89e74b · outbound

This paper cites Dinov2: Learning robust visual features with- out supervision, 2024.

Video Virtual Try-on with Conditional Diffusion Transformer Inpainter Dinov2: Learning robust visual features with- out supervision, 2024

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T22:33:31.610157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:33:31.610157Z digest=sha256:2ed37f73a2b05e15b80942f56f20e8e16bacbb328b4bdac875ec6db36507a6b6

Observation 0762a723-99d2-4681-a5fa-2c1b42a823fd · outbound

This paper cites The 2017 davis challenge on video object segmentation, 2018.

Video Virtual Try-on with Conditional Diffusion Transformer Inpainter The 2017 davis challenge on video object segmentation, 2018

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:33:35.382792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:33:31.770602Z digest=sha256:97eeb5c3bc3adbf3c5781f0cdb75a5436a12b394f7d541ce836f73f7c3965231

Observation 1fa47860-afac-412a-97ba-0d5b868997e3 · outbound

This paper cites an unresolved cited work.

Video Virtual Try-on with Conditional Diffusion Transformer Inpainter Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:33:35.247398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:33:31.870473Z digest=sha256:123620f81402c0be97bba7076c1f68b9c68bf1640d7af14c24c8ab5a5f04b750

Observation 2c8c0f27-f62a-45d2-9f7e-075a9e081272 · outbound

This paper cites Towards Accurate Generative Models of Video: A New Metric & Challenges.

Video Virtual Try-on with Conditional Diffusion Transformer Inpainter Towards Accurate Generative Models of Video: A New Metric & Challenges

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T22:33:31.977615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:33:31.977615Z digest=sha256:428fc07c087deb86e549b78aac3571a9cbe0510b60473fe52529d047508ba76f

Observation bec30d08-8efc-4416-9289-cedd85a2a0b7 · outbound

This paper cites Toward characteristic- preserving image-based virtual try-on network, 2018.

Video Virtual Try-on with Conditional Diffusion Transformer Inpainter Toward characteristic- preserving image-based virtual try-on network, 2018

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:33:35.072731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation ed80d764-744f-407b-bc1e-c44d079dec11 · outbound

This paper cites Toward characteristic- preserving image-based virtual try-on network.

Video Virtual Try-on with Conditional Diffusion Transformer Inpainter Toward characteristic- preserving image-based virtual try-on network

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:33:34.947162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation f5e7ccc1-7b6e-4477-80bd-a6ff518af292 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.

Video Virtual Try-on with Conditional Diffusion Transformer Inpainter Image quality assessment: from error visibility to structural similarity

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T22:33:32.356796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:33:32.356796Z digest=sha256:34cab11a7312077da1678e31c4ed117bcd04abdd34b03fd40784c2c3f5f6c8df

Observation f64a0805-f465-4100-9954-2b7768857b03 · outbound

This paper cites OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on.

Video Virtual Try-on with Conditional Diffusion Transformer Inpainter OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T22:33:32.539943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:33:32.539943Z digest=sha256:510aedb8f2733e903655040c0ee877a7a14e0c59792695221bc851a5571f4052

Observation 119d3a1f-21ae-40f0-b202-6f6dba68eb44 · outbound

This paper cites Tunnel try-on: Excavating spatial-temporal tunnels for high-quality virtual try-on in videos.

Video Virtual Try-on with Conditional Diffusion Transformer Inpainter Tunnel try-on: Excavating spatial-temporal tunnels for high-quality virtual try-on in videos

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:33:34.795704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:33:32.686910Z digest=sha256:04a29a4a939b74152a9977f18c57eeb2ad67d4318b749a947a9ad42785ba9dc0

Observation 902f8d4d-5392-4f98-8acd-6ba4ba799089 · outbound

This paper cites Video instance seg- mentation, 2019.

Video Virtual Try-on with Conditional Diffusion Transformer Inpainter Video instance seg- mentation, 2019

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:33:34.646272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:33:32.817596Z digest=sha256:51c2bbb7848128ad1b9484a2634e0bfb1cb5c43289c8e9b4acf0a2cf3de2cae4

Observation d864a82e-59da-458c-8094-de70db713b8f · outbound

This paper cites IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models.

Video Virtual Try-on with Conditional Diffusion Transformer Inpainter IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 41

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:33:32.970229Z digest=sha256:064003cfad32ea3131557b7d109e5727f2307c05c19ef7ff9d45410ae4e9528b

Observation 07ff8f12-9be4-4c67-b683-aa5ffd2cfb0a · outbound

This paper cites Efros, Eli Shecht- man, and Oliver Wang.

Video Virtual Try-on with Conditional Diffusion Transformer Inpainter Efros, Eli Shecht- man, and Oliver Wang

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:33:34.489117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:33:33.065750Z digest=sha256:93bc4a7f13819a239fd7b35fd576e3727d5f34d2c03e508c42edd1e96c1c2327

Observation b2ac43eb-3ba7-4205-816f-a3301b07aa98 · outbound

This paper cites Avid: Any-length video inpainting with dif- fusion model.

Video Virtual Try-on with Conditional Diffusion Transformer Inpainter Avid: Any-length video inpainting with dif- fusion model

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T22:33:33.178701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:33:33.178701Z digest=sha256:c40e3953a762b9601bd8fba9855c0dbef68754910d2b7fd35423baac51522bb3

Observation 06fc2638-a7e5-448c-bd90-16441dd3c15a · outbound

This paper cites Mv-ton: Memory-based video virtual try- on network.

Video Virtual Try-on with Conditional Diffusion Transformer Inpainter Mv-ton: Memory-based video virtual try- on network

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:33:34.317961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:33:33.346990Z digest=sha256:2100a9a98392fd567323424becbc3426fbbce35166ac6b35416b2ab487e225e0

Observation eb52d74a-714a-4274-b656-d9fd60f49ca4 · outbound

This paper cites Tryondiffusion: A tale of two unets.

Video Virtual Try-on with Conditional Diffusion Transformer Inpainter Tryondiffusion: A tale of two unets

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T22:33:33.480997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:33:33.480997Z digest=sha256:1775e4cff48a821d0ce223061841e458e513be6c89efdf9079094a3fc9d68059

Observation 805e54d5-7867-48cf-9aee-df9e213d18f2 · outbound

This paper cites Designing a better asymmetric vqgan for stablediffusion, 2023.

Video Virtual Try-on with Conditional Diffusion Transformer Inpainter Designing a better asymmetric vqgan for stablediffusion, 2023

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:33:34.177378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:33:33.617642Z digest=sha256:8ffe655c036c7ddf99a07c59338713db0cb7044ce87d71129c776f2911953e4f

Pith citing papers

Observation 772d1f57-9eec-4786-852c-b7a356c0d7c2 · inbound

Face inpainting with Identity Preserving Latent Diffusion Models cites this paper.

Face inpainting with Identity Preserving Latent Diffusion Models Video Virtual Try-on with Conditional Diffusion Transformer Inpainter

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-20T18:08:50.730819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-20T18:05:54.603514Z digest=sha256:bf6bdbd9dab6624a57b6209ad3854ded10e74ea48ff2c3e0284b857b9ea7e399