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Paper Citation Record · LEDGER

Layering Virtual Try-On

As of 10 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2607.22924.

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

pith.paper-citation-record.v1
2607.22924 v1

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T04:11:50.150226Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

60 of 60 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved60
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b5ba7696-836f-4d02-b73e-a081cce1a6dc · outbound

This paper cites In: Proceedings of the Asian Conference on Computer Vision.

Layering Virtual Try-On In: Proceedings of the Asian Conference on Computer Vision

Reference 1

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source=pdf_text observed=2026-08-01T04:11:49.969948Z digest=sha256:b99716cba9b414f383644765c31e80326ad8f85ae078225d5b8664da6abe8a01

Observation a8cdf52d-bcf6-4791-b302-d0185d7378a0 · outbound

This paper cites Qwen2.5-VL Technical Report.

Layering Virtual Try-On Qwen2.5-VL Technical Report

Reference 2

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source=pdf_text observed=2026-08-01T04:11:49.973705Z digest=sha256:00946df03dfd185ad0815f2b676deef353130ec18a8cffa1496ebd1b027ced19

Observation e2cb6a60-460e-4d7a-b8a8-23bfc737f36a · outbound

This paper cites arXiv preprint arXiv:2408.07009 (2024).

Layering Virtual Try-On arXiv preprint arXiv:2408.07009 (2024)

Reference 3

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source=pdf_text observed=2026-08-01T04:11:49.977789Z digest=sha256:8548899bea36b79d586442410a381dddb74f9e32339f4f5ea13875532b6f538c

Observation e9d24326-1e98-43ad-85e3-02915e2c2fe5 · outbound

This paper cites 1 kontext: Flow matching for in- context image generation and editing in latent space.

Layering Virtual Try-On 1 kontext: Flow matching for in- context image generation and editing in latent space

Reference 4

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source=pdf_text observed=2026-08-01T04:11:49.980934Z digest=sha256:e66ff4baf12cf03af381ddeddc79c401b863dd4bd29f5c82832317c853ebba3b

Observation 0481d9f9-5ed2-473a-8b8f-ae338260d27f · outbound

This paper cites Demystifying MMD GANs.

Layering Virtual Try-On Demystifying MMD GANs

Reference 5

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source=pdf_text observed=2026-08-01T04:11:49.984654Z digest=sha256:f96eb27bc94869808dc0b8ef412c72ec8c7cd7b68d3cbb52905b97407ebc19ab

Observation cc9e7f84-faec-4232-8f9a-785c408981a1 · outbound

This paper cites In: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval.

Layering Virtual Try-On In: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval

Reference 6

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source=pdf_text observed=2026-08-01T04:11:49.988420Z digest=sha256:5db241a9b99164e9ed543c7e55bb3b8d899dafca7bd25dcf2f0ec3043e72b7f9

Observation d06e9c64-4397-4ac2-a226-b479aad715ae · outbound

This paper cites HunyuanImage 3.0 Technical Report.

Layering Virtual Try-On HunyuanImage 3.0 Technical Report

Reference 7

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source=pdf_text observed=2026-08-01T04:11:49.991633Z digest=sha256:817e87f1b8ac3fafd3808d31ba3b0fa826f9838daaf76b05b913a9bb20b281e2

Observation bcb54724-bca8-4754-98b1-6d7c6e664855 · outbound

This paper cites In: European Conference on Computer Vision.

Layering Virtual Try-On In: European Conference on Computer Vision

Reference 8

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source=pdf_text observed=2026-08-01T04:11:49.995084Z digest=sha256:bf785a0992390958bc82ce2912350ef9a1c03108cea8f1afb45dd0cf3df6e70b

Observation 5f66059b-6606-47d5-b517-c487ed9d58e8 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Layering Virtual Try-On In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 9

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source=pdf_text observed=2026-08-01T04:11:49.997929Z digest=sha256:9a9cb59d6966f03d463ecd4f4b4d6f43d33816cc096780c4219bd3218ce272b5

Observation cede4b0b-2607-4a2c-92a1-95344426a659 · outbound

This paper cites In: European Conference on Computer Vision.

Layering Virtual Try-On In: European Conference on Computer Vision

Reference 10

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source=pdf_text observed=2026-08-01T04:11:50.000798Z digest=sha256:1202186c4af1c8c618e8fa85dd5e5f3a1e85a6e69fe6987872d2ee2c68c2dd02

Observation def291bf-c5c9-4e74-8f51-29c9aa3e3c4f · outbound

This paper cites CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffusion Models.

Layering Virtual Try-On CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffusion Models

Reference 11

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source=pdf_text observed=2026-08-01T04:11:50.004015Z digest=sha256:c0ae9f65736b19db282e135e6f5a1adc6c742bcc14eef232a78c54c9653240d8

Observation 3b497cee-6a91-43bb-8fe3-999b7f495fe7 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

Layering Virtual Try-On Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 12

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source=pdf_text observed=2026-08-01T04:11:50.007314Z digest=sha256:3ecf79f45ddff62a38629898348d9b91c19d0fd02f43d4a3ec6ba24a614a0394

Observation 782feca6-8370-4cc1-b808-43bb9bcf6554 · outbound

This paper cites MuGa-VTON: Multi-Garment Virtual Try-On via Diffusion Transformers with Prompt Customization.

Layering Virtual Try-On MuGa-VTON: Multi-Garment Virtual Try-On via Diffusion Transformers with Prompt Customization

Reference 13

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source=pdf_text observed=2026-08-01T04:11:50.010364Z digest=sha256:b2003b6e79301b3906648870b891b5c7286f2030f59a43863b2065aaebf74003

Observation be8d7e0d-3407-493d-8d00-040ff93a4eda · outbound

This paper cites IEEE Access11, 47304–47320 (2023).

Layering Virtual Try-On IEEE Access11, 47304–47320 (2023)

Reference 14

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source=pdf_text observed=2026-08-01T04:11:50.013554Z digest=sha256:aed863f5c5f58c8117332c17e36104c2338817c14e6b8df1fdc9da6d69b9b1f0

Observation 050f46b5-d1ad-4a3a-8329-c0a8164fcc7c · outbound

This paper cites In: Forty-first international conference on machine learning (2024) 16 C.

Layering Virtual Try-On In: Forty-first international conference on machine learning (2024) 16 C

Reference 15

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source=pdf_text observed=2026-08-01T04:11:50.016416Z digest=sha256:dff849519cbff752619eee19400970dfb67903e3622a0d0a126ff141338ea023

Observation 892f9a78-1779-4e74-8010-dade6dccf314 · outbound

This paper cites an unresolved cited work.

Layering Virtual Try-On Unresolved cited work

Reference 16

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source=pdf_text observed=2026-08-01T04:11:50.019287Z digest=sha256:d4951b959bf7c8861a16974cc98bf84ce3d106e1680515f043ce45944e35fcb5

Observation fed10e45-8979-405b-a60f-d1f7bffd1d1a · outbound

This paper cites OmniTry: Virtual Try-On Anything without Masks.

Layering Virtual Try-On OmniTry: Virtual Try-On Anything without Masks

Reference 17

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source=pdf_text observed=2026-08-01T04:11:50.021876Z digest=sha256:4a63df575e2cd6216991d16dd59fc26e5509a2421b84cc37c9a0afdbad905ec5

Observation 3c015f2b-ba95-4035-8b2b-2717be0a6883 · outbound

This paper cites DreamDA: Generative Data Augmentation with Diffusion Models.

Layering Virtual Try-On DreamDA: Generative Data Augmentation with Diffusion Models

Reference 18

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source=pdf_text observed=2026-08-01T04:11:50.024884Z digest=sha256:924afbca9828e19238b7bdf16b4005d6c90038c2972cbb8972f55d670c498d1c

Observation 33dee188-d2b2-48cb-80fc-2334fe57062f · outbound

This paper cites In: Proceedings of the 31st ACM International Conference on Multimedia.

Layering Virtual Try-On In: Proceedings of the 31st ACM International Conference on Multimedia

Reference 19

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source=pdf_text observed=2026-08-01T04:11:50.028041Z digest=sha256:c97e285dbeed5848f23748a5b719e88c76f61574ac4b445c60fd84bd2147ba51

Observation d5957cdb-ef79-4aaa-9c6b-bf4fa0a5724f · outbound

This paper cites Any2AnyTryon: Leveraging Adaptive Position Embeddings for Versatile Virtual Clothing Tasks.

Layering Virtual Try-On Any2AnyTryon: Leveraging Adaptive Position Embeddings for Versatile Virtual Clothing Tasks

Reference 20

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source=pdf_text observed=2026-08-01T04:11:50.030854Z digest=sha256:e58a62f2a0ab4a8b13bd4864c815a47795ee3816232edf18408003e65f1408b6

Observation b8cba59d-ac8a-488c-aace-88a105b6e8b3 · outbound

This paper cites SynthCLIP: Are We Ready for a Fully Synthetic CLIP Training?.

Layering Virtual Try-On SynthCLIP: Are We Ready for a Fully Synthetic CLIP Training?

Reference 21

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source=pdf_text observed=2026-08-01T04:11:50.033852Z digest=sha256:ba4d76c8bf3ab62b17230f027fbcfcabf996a58a9b0e045712c9c3e3ecdc6eb7

Observation 5cfea6f3-88af-48a0-91d5-9abd1680fe48 · outbound

This paper cites Advances in neural information processing systems30(2017).

Layering Virtual Try-On Advances in neural information processing systems30(2017)

Reference 22

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source=pdf_text observed=2026-08-01T04:11:50.037171Z digest=sha256:3b46d00f9aafd527f6ac11a64f2a335cd9823b8ca46bd60b3ce76eb2858e0cde

Observation 2699e412-d9e3-4679-b2ab-5c0b0b06507f · outbound

This paper cites In: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

Layering Virtual Try-On In: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Reference 23

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source=pdf_text observed=2026-08-01T04:11:50.039937Z digest=sha256:629e068fda39dc53c498a521d04cb80a71f63b62e18e001d607b29f8f8a5b2d8

Observation bb2002fd-c938-4030-bdcb-5b9195ec92f9 · outbound

This paper cites ICLR1(2), 3 (2022).

Layering Virtual Try-On ICLR1(2), 3 (2022)

Reference 24

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source=pdf_text observed=2026-08-01T04:11:50.043597Z digest=sha256:4a8bad48cdf66fe76c1964919a0424c37ed30d59a436549e968a68ad771cb303

Observation 1b815151-11db-410d-9581-e88a5d915c45 · outbound

This paper cites In: ACM SIGGRAPH 2024 conference papers.

Layering Virtual Try-On In: ACM SIGGRAPH 2024 conference papers

Reference 25

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source=pdf_text observed=2026-08-01T04:11:50.047179Z digest=sha256:d4bc8a79f3bd71a43969c2f472d1ba09628edf23a46d655d353b5a284d21b94f

Observation 3f4fd3bc-958f-4d49-8cf1-379f9d077c8e · outbound

This paper cites an unresolved cited work.

Layering Virtual Try-On Unresolved cited work

Reference 26

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source=pdf_text observed=2026-08-01T04:11:50.050284Z digest=sha256:2843dff31251ecc91b49e2de012df3089df326d8ad1f7a0b9de61cfc7f6243f9

Observation ffc9aac2-9fe3-4236-b9c9-e47a4d7e66b9 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Layering Virtual Try-On In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 27

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source=pdf_text observed=2026-08-01T04:11:50.053610Z digest=sha256:a7b6331ed54f7c85672f13b6e84aeb0c3b89378e2d8c4f942f3641ce11a3928d

Observation e15e0454-1271-4d82-b6ef-880811e7c369 · outbound

This paper cites FitDiT: Advancing the Authentic Garment Details for High-fidelity Virtual Try-on.

Layering Virtual Try-On FitDiT: Advancing the Authentic Garment Details for High-fidelity Virtual Try-on

Reference 28

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source=pdf_text observed=2026-08-01T04:11:50.056437Z digest=sha256:5553a4182aeae6879bb09bb5e2c4ef12ec3b679a4fade0c2ff9657d4262b0997

Observation 18327608-ed52-4aa7-8df9-48e073eb04e6 · outbound

This paper cites Exploiting Asymmetry for Synthetic Training Data Generation: SynthIE and the Case of Information Extraction.

Layering Virtual Try-On Exploiting Asymmetry for Synthetic Training Data Generation: SynthIE and the Case of Information Extraction

Reference 29

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source=pdf_text observed=2026-08-01T04:11:50.059363Z digest=sha256:c39ffbddfdf6ecefe5df6b7cbd4f32130be8c492617e2dd6c19050c5bac3290f

Observation c5c09586-f634-4757-aeda-98de4f187d83 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Layering Virtual Try-On In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 30

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source=pdf_text observed=2026-08-01T04:11:50.062423Z digest=sha256:319c971dcd5c853a29844a63aa82a732918992578c6de775a6135b9ebd8e8c69

Observation a0008c9e-fee1-4b99-bbff-050cdaf7422d · outbound

This paper cites ACM Transactions on Graphics (TOG)42(6), 1–13 (2023).

Layering Virtual Try-On ACM Transactions on Graphics (TOG)42(6), 1–13 (2023)

Reference 31

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source=pdf_text observed=2026-08-01T04:11:50.065218Z digest=sha256:a786e8d06241a6ea3133dfa4dbc9cfa793b55b06e7bb692f51fea93904ada784

Observation 3c045a08-5653-4574-ac56-23e1c32d3296 · outbound

This paper cites In: European Conference on Computer Vision.

Layering Virtual Try-On In: European Conference on Computer Vision

Reference 32

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source=pdf_text observed=2026-08-01T04:11:50.068099Z digest=sha256:c50cd163e6dda149d96a53ff30a0bba1ae48d9db4776a1bac19f919ef3d332b4

Observation 7ee1804e-8f13-417a-a5a5-3a99f5cc5cdd · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

Layering Virtual Try-On In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 33

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source=pdf_text observed=2026-08-01T04:11:50.070725Z digest=sha256:bdc11bcb762d8c9d206c30e22059ac42fab08c1359468ca6713c086c997048f2

Observation 638471c9-8c5f-4ac0-bbb2-a66a0a045589 · outbound

This paper cites REAL: Realism Evaluation of Text-to-Image Generation Models for Effective Data Augmentation.

Layering Virtual Try-On REAL: Realism Evaluation of Text-to-Image Generation Models for Effective Data Augmentation

Reference 34

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source=pdf_text observed=2026-08-01T04:11:50.073329Z digest=sha256:670ce0cb74d8a3e8adee60440aaab019eb84cb5b27c6fd21ac06bbfda2be8d16

Observation e31e4056-8c47-4bae-8153-c57aa53bb075 · outbound

This paper cites Data Boost: Text Data Augmentation Through Reinforcement Learning Guided Conditional Generation.

Layering Virtual Try-On Data Boost: Text Data Augmentation Through Reinforcement Learning Guided Conditional Generation

Reference 35

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source=pdf_text observed=2026-08-01T04:11:50.076633Z digest=sha256:4f02bd21c585cddf018e5e095f0a829aee0918eb10df2d10529768d2b6767ec6

Observation a4960920-c5ed-4a69-bd64-001964a34d53 · outbound

This paper cites Decoupled Weight Decay Regularization.

Layering Virtual Try-On Decoupled Weight Decay Regularization

Reference 36

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source=pdf_text observed=2026-08-01T04:11:50.079566Z digest=sha256:1240f4de83d5b5081c88d67e13daa39e98113059e05e752f8644c879335f0a17

Observation 8b351728-8377-40c0-97cf-6d9f786684d2 · outbound

This paper cites In: Proceedings of the 31st ACM international conference on multimedia.

Layering Virtual Try-On In: Proceedings of the 31st ACM international conference on multimedia

Reference 37

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source=pdf_text observed=2026-08-01T04:11:50.082535Z digest=sha256:f22e7eff3d26a9fdca3fdc9139cf86175f6c9fbe34989e9d4327a020c1bbf838

Observation 346252c1-8edb-4467-b36f-10a8323932ad · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Layering Virtual Try-On In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 38

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source=pdf_text observed=2026-08-01T04:11:50.085377Z digest=sha256:3bfdbe0b1f28f5d157da4de75f822bd83b99285e7a0057980f98eb40c320382c

Observation 4d7119f2-d698-4b99-a776-0a01dc39babf · outbound

This paper cites SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness.

Layering Virtual Try-On SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness

Reference 39

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source=pdf_text observed=2026-08-01T04:11:50.088219Z digest=sha256:b7da301a4419e4d485062b3ec09387dda4a25dc5bda712f93d59fb1f98d5c4f1

Observation a994d5a7-0d84-4546-9c99-f337693c12ce · outbound

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

Layering Virtual Try-On SAM 2: Segment Anything in Images and Videos

Reference 40

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source=pdf_text observed=2026-08-01T04:11:50.091158Z digest=sha256:665424bf36ecaab9d1c3fc0cff982ed565f746fe68091bdf502cf8c7ef23127c

Observation 10319d17-b09e-4ba1-a6f8-8b6096d05040 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Layering Virtual Try-On In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 41

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source=pdf_text observed=2026-08-01T04:11:50.094037Z digest=sha256:e207602932f92cef9ad1ff7cbccd6f693e932b70b099819a6a2a811f0ea0c76b

Observation 787510ce-8771-4159-88cc-db68074c6015 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Layering Virtual Try-On Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 42

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source=pdf_text observed=2026-08-01T04:11:50.096635Z digest=sha256:2b57b6399b4b42f77febae243dbbf546e5b852685bfd7539a9852dcc23d21f99

Observation 35d7a57c-655b-40af-89d5-870ab8ecbab0 · outbound

This paper cites OutfitAnyone: Ultra-high Quality Virtual Try-On for Any Clothing and Any Person.

Layering Virtual Try-On OutfitAnyone: Ultra-high Quality Virtual Try-On for Any Clothing and Any Person

Reference 43

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source=pdf_text observed=2026-08-01T04:11:50.099899Z digest=sha256:7c6fcf42ca99fe6693170d204de0e6bc9025d674745c417cf5a3af20b38524d5

Observation 1166417a-fb47-408e-947f-907d81c24b74 · outbound

This paper cites Advances in Neural Information Processing Systems36, 48382–48402 (2023).

Layering Virtual Try-On Advances in Neural Information Processing Systems36, 48382–48402 (2023)

Reference 44

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source=pdf_text observed=2026-08-01T04:11:50.102619Z digest=sha256:62ff5c0300bcac33847bd1011665105153c6143b45c0e4fe206877ef51cfb117

Observation 9b4b25a7-6413-4746-8600-21cd51ffbdef · outbound

This paper cites In: Proceedings of the IEEE/CVF winter conference on applications of computer vision.

Layering Virtual Try-On In: Proceedings of the IEEE/CVF winter conference on applications of computer vision

Reference 45

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source=pdf_text observed=2026-08-01T04:11:50.105510Z digest=sha256:272d1145cc612a3436613d5f6bd681f9fd4ece490de87d102a837bc25541565c

Observation 2bca4265-2ff5-4f64-848b-ecf630853fb3 · outbound

This paper cites MGT: Extending Virtual Try-Off to Multi-Garment Scenarios.

Layering Virtual Try-On MGT: Extending Virtual Try-Off to Multi-Garment Scenarios

Reference 46

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source=pdf_text observed=2026-08-01T04:11:50.108319Z digest=sha256:2f5e8a03b7a00f4c17380869fb9b43a7b8dfe02dcb98004599820150c2d92e8e

Observation 376146f2-f9d8-4641-ab68-998ae54ddb00 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

Layering Virtual Try-On In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 47

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source=pdf_text observed=2026-08-01T04:11:50.111344Z digest=sha256:47f234b2ee8254e5af7813c524294e5d6f62d3fbbf8b388fe0dfe0b1d9a343a9

Observation a949287c-f9af-49a3-af3a-c04186b389ed · outbound

This paper cites In: Pro- ceedings of the 61st annual meeting of the association for computational linguistics (volume 1: long papers).

Layering Virtual Try-On In: Pro- ceedings of the 61st annual meeting of the association for computational linguistics (volume 1: long papers)

Reference 48

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source=pdf_text observed=2026-08-01T04:11:50.114326Z digest=sha256:55da6e4fe5fcc8fd317b3081d85d2a1c26a10e118d33b636484e5f66a65c9769

Observation 00c7e750-7fb3-42a4-a98a-e8e7d1a0c72f · outbound

This paper cites IEEE transactions on image processing 13(4), 600–612 (2004) 18 C.

Layering Virtual Try-On IEEE transactions on image processing 13(4), 600–612 (2004) 18 C

Reference 49

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source=pdf_text observed=2026-08-01T04:11:50.117199Z digest=sha256:71c90111276af28cb76298295d3244ad4e2db2f0c06c332fa7aab8b1cdc430e3

Observation ac85c99b-a85a-48c3-b50a-4faaa32d2ce9 · outbound

This paper cites Qwen-Image Technical Report.

Layering Virtual Try-On Qwen-Image Technical Report

Reference 50

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source=pdf_text observed=2026-08-01T04:11:50.120091Z digest=sha256:75bb1ca96e7ee48e10742e29308f14ad7daf112a032e806e39281c5b63ae5b6a

Observation 4425a3df-1474-4c3c-96d6-42bc95a907c4 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Layering Virtual Try-On In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 51

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source=pdf_text observed=2026-08-01T04:11:50.123354Z digest=sha256:311e986973ef83c77c48e6837dc0173b7c606d4b87fabefcdb33c32c9bf59444

Observation 11922c73-51f0-4efc-bb80-cc5c856c0df0 · outbound

This paper cites arXiv preprint arXiv:2601.05853 (2026).

Layering Virtual Try-On arXiv preprint arXiv:2601.05853 (2026)

Reference 52

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source=pdf_text observed=2026-08-01T04:11:50.126148Z digest=sha256:489130f1d91a4d62fbef0d0a89e87188a731e7a558f1e42ebf5f792554e2c033

Observation 71998ec7-f8f5-450c-a151-703f541e9671 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

Layering Virtual Try-On In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 53

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source=pdf_text observed=2026-08-01T04:11:50.129084Z digest=sha256:8a880899b5842fcad557c3db4157ab78f474e95c170ccb6c1a09bcb5c7fba642

Observation 26f8b00d-92a2-424c-a45d-bae43205842b · outbound

This paper cites Generative Data Augmentation for Commonsense Reasoning.

Layering Virtual Try-On Generative Data Augmentation for Commonsense Reasoning

Reference 54

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source=pdf_text observed=2026-08-01T04:11:50.131853Z digest=sha256:45499d43e30e5c377ef4a57acf35db7803d4f8940c36a98fece5d88fb09f58e6

Observation 483e02e5-465d-4b39-b04d-59d28b7bc3a1 · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

Layering Virtual Try-On In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 55

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source=pdf_text observed=2026-08-01T04:11:50.134689Z digest=sha256:e7ef79f8a9912137abda9b4a28103a487e362dac83021a0046015b50652b4ab5

Observation 466d3997-8bd4-4c44-b5c6-76500ca3dca1 · outbound

This paper cites TTIDA: Controllable Generative Data Augmentation via Text-to-Text and Text-to-Image Models.

Layering Virtual Try-On TTIDA: Controllable Generative Data Augmentation via Text-to-Text and Text-to-Image Models

Reference 56

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source=pdf_text observed=2026-08-01T04:11:50.137760Z digest=sha256:55759facd38e7dda2b355ae5b7e683ec402be785e485607270685beef13ce9c7

Observation 558e11b1-c5f5-4f89-b33e-0b6220c09970 · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

Layering Virtual Try-On In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 57

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source=pdf_text observed=2026-08-01T04:11:50.140771Z digest=sha256:49f9e835129551a3efad38e9e80845ac0f797635f19595bba4f35debbb446eeb

Observation 47327e82-ff27-4fd2-891b-a7f278cf49df · outbound

This paper cites MMTryon: Multi-Modal Multi-Reference Control for High-Quality Fashion Generation.

Layering Virtual Try-On MMTryon: Multi-Modal Multi-Reference Control for High-Quality Fashion Generation

Reference 58

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source=pdf_text observed=2026-08-01T04:11:50.143773Z digest=sha256:44588bc255d2cf536798b2d8b23f6c6fdcaae5d49e9cd48ddb5ee4dc2ba755c2

Observation 0933d17c-cd2c-4216-a926-c2ca226c8447 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Layering Virtual Try-On In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 59

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source=pdf_text observed=2026-08-01T04:11:50.147085Z digest=sha256:c2fa3c3ece45ec1429e1b0ee9d75f0a9b70828b23d35673c71a9b356995a6a13

Observation 9acfb159-e5b2-4581-aad6-a0f289878e64 · outbound

This paper cites deform-and-place.

Layering Virtual Try-On deform-and-place

Reference 60

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source=pdf_text observed=2026-08-01T04:11:50.150226Z digest=sha256:aeec056ebb19118af9c17d332ad63f070df2ca013a5956a8ad1485fd7add68ec

Pith citing papers

No inbound Pith citation observations are available.