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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 2026-08-20T06:33:59.587034+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
  • metadata mismatch0

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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:33:28.364085Z digest=sha256:7edf6141ec82c62e45929b103700eeddc23df11d6b74f165cd0039fac1419d83

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:33:28.466276Z digest=sha256:9c87bac460ccf90f3e16a150285ddb309447c19354efda7d08b7512933bac264

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:33:28.583609Z digest=sha256:7137d3e9599f71ec7354d1d63ddf3d5406b8a08b4404da5d39b8171bf4aafeea

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:33:28.707724Z digest=sha256:1344b38899744cbac0a4f9cb336ed01d7ca26a74682cc2a73e0290439e03b5bf

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:33:28.820294Z digest=sha256:024446b7babf1a9f3e8db24a463e15f1e4543b9f94811b5fb73041446268da3d

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:33:28.914502Z digest=sha256:627c0c13b143cfd70dbe631d6356a3fa0193330be393f852acb4990d08f0c964

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:33:29.024352Z digest=sha256:9b02ac7e3c9ab49ed7a70a5c58aeea7fcd3acc4fafb55a237944bda949905f02

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:33:29.167956Z digest=sha256:1d61f64d4707d15415c35d14380bb6ff483597db02b90b688474c9ac0b11b318

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:33:29.287736Z digest=sha256:b9d37890557242519974f86413788f90006092fc96a724376f78ea5257bc74b8

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:33:29.600770Z digest=sha256:f99410fd9eb88604187d135ca97f94b30c8293bb6a48bb1f06704c0db5b50057

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:33:29.701986Z digest=sha256:23291895fb4b96de2162d842718fecf5086d9952648cb4221f9b27c6f101cc01

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:33:29.812495Z digest=sha256:0cc38eef0a81074a6f9e6dcb6b77dd24b7aeb4179d55fb9472299906240563f4

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:33:29.946334Z digest=sha256:48ff33d1910b774ca8fd1372d79d53de24ab032d88f873c9164cfcef5467629c

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:33:30.045522Z digest=sha256:5b72b8dfc3d49d62f79ee97d935d9965221b3d47805400c69213774428252fe7

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:33:30.282570Z digest=sha256:f88a9c9e50bb18fefd7d5a53549f20f0c1702a7a7d40093223604681a801bdda

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:33:30.367598Z digest=sha256:72e91e6becf657c88659b927573bd5aa74df792da66d7ad721930a4ce03b3af4

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:33:30.498552Z digest=sha256:9e75a9748b89acd28ed266ab72add4486b994d0da0cbb6395f3523447e39e6eb

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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:33:31.056768Z digest=sha256:04ce99f9dc678c2b95b58733be8ebb2191c0577750380f4184be54af98af64e0

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:33:31.155436Z digest=sha256:b498d795bdbfd9a6e7d5a4b7048edf8d68ee73d3701d2c1404ad176a52469a55

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:33:31.251033Z digest=sha256:514d6ba8a1ed33dfed2c53b673a6cc69f57a4cc9e53a6a1da3bace1363d13686

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:33:31.348309Z digest=sha256:dd0c10d931480522bd806b2a9643c6f30962408eaf6dd0f6b4a0c90a819a26b6

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:33:31.486573Z digest=sha256:cff03febc0375f5a0145b53010c0c684772380b5c6a47c2faa7bcd2310ce40b3

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:33:31.770602Z digest=sha256:c9a95ecac18eba7151d33ebff2dafefdb59561889697e13056d271dce32ece55

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:33:31.870473Z digest=sha256:60c419f8d5543444b836110e05b29467c68aa66c154558cfc2b3167a0af39eeb

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:33:32.086558Z digest=sha256:1f22e407539915291e9e3aa33eb5c9df725c3bb851942a316919d0017d261b7f

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 2026-08-20T06:33:59.587034+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
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:33:32.356796Z 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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:33:32.686910Z digest=sha256:69f356a4cfcecd2d6b160a3c6167477615dd7a18f4ba1df0e3452a21190213cc

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:33:32.817596Z digest=sha256:77eded03c429505ad67ae4d597bca306025d13b59b722bcad875a094bcdf7f17

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:33:33.065750Z digest=sha256:f9935d394d6087699dae2c32e614bc5be2aea42b17711bbc42e2dd35b5d97dcc

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:33:33.346990Z digest=sha256:83a833829cdb139efb57c49774a445a5933a766817b54ccde130be605f324f66

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:33:33.617642Z digest=sha256:a0455443a895efc5e08f1e0f3db6719c39927dd0dffcfc28faf4d3d59ed4f649

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-20T18:05:54.603514Z digest=sha256:9fee785b04dd7208e6557e373ddbd88096857fd261819170d1c74f6cbbbb0026

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