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Paper Citation Record · LEDGER

Video Virtual Try-on with Conditional Diffusion Transformer Inpainter

As of 20 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 2 inbound Pith citation observations 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 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T00:18:10.191565Z

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
raw_fallback, observed 2026-08-06T22:33:38.830638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+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=sha256:7ec69d54eff73bc0cd8dde40a4d3957e4d334c492f6726d15306a243269b9911

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:33:28.364085Z digest=sha256:fab56284633194966ee5da97b82248c55f3847ff49d199898aec78bf893b4f91

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:33:28.466276Z digest=sha256:4c0f7046e2d91e45912ba5832c3e818dd3fa367bdbebab7437525619453e8e6a

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
raw_fallback, observed 2026-08-06T22:33:38.462091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:33:28.583609Z digest=sha256:d7d93f5c054c8349ed5bc9b189e1430972837c576bd8aa40127f745abda83fd7

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:33:28.707724Z digest=sha256:fe1900fcf44a4115ae533ef242c3389617a2e0af0a763a2600b635ece60c14c1

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:33:28.820294Z digest=sha256:c369cc737010ca7f73f04f6f0ebadcb8ae7b6609089419fa42752c26d877f9fc

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 2026-08-19T06:32:44.657259+00:00.

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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:33:29.024352Z digest=sha256:afcfcf5d7953aea159442095a96cbebc952a624fe5bddab63c9634e69ff5a6a8

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:33:29.167956Z digest=sha256:25afffefee40b6c5a75d4c7d01d2d99ac695202f5e523aed744614d08ea47471

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:33:29.287736Z digest=sha256:cdd79aa108ef264b4ba458c5786a271c78f3b81d246c2dab42a5fc9b2576f69a

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:ca3a73772f7a21172399aac518e7cff82c7b44856095017e5b0e056805d19d4f

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=sha256:87b458d1384f6937902d482243c7df6b155d96e91c7713a12d3b6fb2eb54caf1

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:33:29.600770Z digest=sha256:5df0fd6dccce68a0bd96d865cc1d9999f47abbf9da64e71dc5c34ef7f3d4ef91

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:33:29.701986Z digest=sha256:3c4c93dfa021ea87601f22fea2c22aced93afb2c33c819607a38e7e93896b521

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:33:29.812495Z digest=sha256:756a9c781976e650760b219aade236f947e7e24a7dda48d818a2b1d03b9b78ba

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:33:29.946334Z digest=sha256:bd3597ccd4ee29303e323b3fe70e4880aa0242e902d60041eb76ac4f1820bc32

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:33:30.045522Z digest=sha256:a7b8f535dffd01e8e166ff215e23070fbc6861bc32cb2437efb274697dadb46a

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=sha256:402492596602a1664dc29c09bfb5a909fa93cdf0954f5962b2d477633565bb89

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:33:30.282570Z digest=sha256:a2e65e467e5683c6a27d8c5108a273946c6c725c0efa6874790ec7d204fd1e1b

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:33:30.367598Z digest=sha256:019e4d22a941708a917cd0cdddc86094ef51fdb3f6f0a89d1d2c4c26a447d20d

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:33:30.498552Z digest=sha256:36b16919ad2ed0822501d8276f14b70e4f9d94d7727917051e8da8d8aa585204

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=sha256:10e49bbd9427265decfb5fdf16212416cde2e807e5e03013d3997a7d0a342468

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:dba267e341a04b43641d0cad7d561f817a45b3ca3cd42ee0c0d0ebe0d22632f0

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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:33:31.056768Z digest=sha256:61beef2f72324a782204f3a8928e10b2e9ae8db371de9660ede7850c1b86e762

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:33:31.155436Z digest=sha256:45ed3cac142612a9782403e22a3605639e4bad7e9be23711ae5e8d4d6a61eede

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:33:31.251033Z digest=sha256:77bdaee3e13e76d7f5a876cac6e16988e2fbb9f6ebc124408a6ae309b85cfa07

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:33:31.348309Z digest=sha256:59d09f4c182e23a88d7d245e84ab2cdd762d4bbf6950f99bb9d9be5b40dafd46

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:33:31.486573Z digest=sha256:799d8dd1c305620b6affc9fa4eb743216fbb4b31f9c4a2d0f87892b2cfbf1710

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=sha256:62d6ef952aad03828ee1305d5c17bc66d937762fe364cbdc836d35bddff0d752

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:33:31.770602Z digest=sha256:b176e9d179f84f8369ab2f3b7e431ef16bacff623ac774749f04e00b468a21ed

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:33:31.870473Z digest=sha256:aed3822889c2900de84df968ee668ede90c220e1a4b782a4752c2806ee76fb8b

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=sha256:9cb9be129387efeec01e3f2514ad8e30f9098c346c691cb7e40621a711fe0d1b

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:33:32.086558Z digest=sha256:898203aada88655f6a1af113c00e37cd3ee2b0fde9dd3f4e556fca684c99c6c2

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:33:32.226653Z digest=sha256:212a61152623319c9ba839412f30c15135f41e0ef1d6063a64ea34504de21db6

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:de5054779c18b0c26e732cace099ed7d97c0a6aa49f16f5ff5a20b6f9dc1a654

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=sha256:3349f62be4ddfd4c4e145a251fccc50c35284bdd2c1bc55de161bc1ebea631ef

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:33:32.686910Z digest=sha256:fd00a967fecd651db309c82c298d4754267d9834cc87128a8c3f31d2e6bd553b

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:33:32.817596Z digest=sha256:b35358876ff0486c6eec1073ab47abcb9bc7d73148e0c248208c2efd82047d6e

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
no resolver link, observed 2026-08-06T22:33:32.970229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:33:32.970229Z digest=sha256:06a8bfeb118d6bd458265bda6ccc2fc65330f4b618511b7378eabe2212004a4f

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:33:33.065750Z digest=sha256:aa2e8a15dd035d6a1e2f7db77ed1911c804bedf6aa48347b98b6705910b2c01e

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:bdc278b81b73000d16e9097f7f76a70a05d6d50ef9ad2becb6434ad81aa5d13b

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:33:33.346990Z digest=sha256:88e5cd3411cadb477edaeae111744fb0026de6ed4c86f6d5a6218c8abfebaca8

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=sha256:898e91dda2ec3b1a415d477ab9a29d3633e8a709831a76fbe1e66dc3afe88376

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:33:33.617642Z digest=sha256:c839b86ce6dc28f9dbd4add9205e3d92573a164c3ea5673cfb75fa576b08bfe7

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-20T18:05:54.603514Z digest=sha256:73f1899d7ebd2d02093d43a5dcfcba69ea322f2b9e5da01ff6c338b60e1e64ed

Observation 8aead11d-6794-4867-a0bb-00d0bfe66a75 · inbound

UniVVT: A Unified End-to-End Framework for High-Fidelity Video Virtual Try-on cites this paper.

UniVVT: A Unified End-to-End Framework for High-Fidelity Video Virtual Try-on Video Virtual Try-on with Conditional Diffusion Transformer Inpainter

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-08T00:18:10.191565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T00:18:10.191565Z digest=sha256:12e67a6a46c0a7fd34f3f02cdb1b60f08b00946d3547bd348092433710dc53d3