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Paper Citation Record · LEDGER

Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On

As of 11 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2607.21694.

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

pith.paper-citation-record.v1
2607.21694 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T07:07:13.806326Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

47 of 47 outbound references displayed

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External citation measurements

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Outbound references

Observation 1aa5b319-f8ac-455b-8ac1-064516e9d8fa · outbound

This paper cites Qwen3-VL Technical Report.

Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On Qwen3-VL Technical Report

Reference 1

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source=pdf_text observed=2026-08-01T07:07:09.511648Z digest=sha256:ae5b42b7d65d9bcb16617c673ae5c5d27dc0ac74ffcd37b839e361279c580964

Observation fa5ba778-9fe5-41b4-97a0-62778254a848 · outbound

This paper cites Qwen2.5-VL Technical Report.

Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On Qwen2.5-VL Technical Report

Reference 2

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source=pdf_text observed=2026-08-01T07:07:09.582728Z digest=sha256:f5b6daf96948dc2c84e60f56071bb89265f6cb2554f7548f69642058afd913ed

Observation e7185b49-fb8c-442e-93b4-480ab0fd4c51 · outbound

This paper cites Flux.2: Towards interactive visual intelligence, 2025.

Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On Flux.2: Towards interactive visual intelligence, 2025

Reference 3

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Observation 8190e317-6746-4b6a-89ea-d8b104941aa6 · outbound

This paper cites Deeper thinking, more accurate generation: Introducing seedream 5.0 lite, 2026.

Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On Deeper thinking, more accurate generation: Introducing seedream 5.0 lite, 2026

Reference 4

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source=pdf_text observed=2026-08-01T07:07:09.767338Z digest=sha256:9267dde1bbc8558496dbf3ed370b8fed5c38f36e6394ab8899b58df90600a24e

Observation 9dd05cee-bc4c-4c38-b5eb-3c47aafae6a6 · outbound

This paper cites HunyuanImage 3.0 Technical Report.

Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On HunyuanImage 3.0 Technical Report

Reference 5

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source=pdf_text observed=2026-08-01T07:07:09.890354Z digest=sha256:f79b4111d06d43449d1e57e6f9cfee1488edf584f3d9e172f7d3ec2646b77cce

Observation 22855660-90c5-4735-8ab2-de63533dae0d · outbound

This paper cites Wear-any-way: Manipulable virtual try-on via sparse correspondence alignment.

Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On Wear-any-way: Manipulable virtual try-on via sparse correspondence alignment

Reference 6

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Observation be1997b1-7bef-43ad-86e7-ac0ba841af02 · outbound

This paper cites Tstars-tryon 1.0: Robust and realistic virtual try-on for diverse fashion items, 2026.

Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On Tstars-tryon 1.0: Robust and realistic virtual try-on for diverse fashion items, 2026

Reference 7

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source=pdf_text observed=2026-08-01T07:07:10.167250Z digest=sha256:296edf08b3173aa679d2c0568eb218b568eeb2c2b062ce0c03d6e9fc9d764130

Observation 550e7179-3bac-4b6a-bc7e-5b6b5ec61ce3 · outbound

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

Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On Viton-hd: High-resolution virtual try-on via misalignment-aware normalization

Reference 8

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source=pdf_text observed=2026-08-01T07:07:10.289784Z digest=sha256:b1a71eb2b18350bda50d979fea1f29ab8919318ccca2f5aa3f50a0befae8dcca

Observation 85818166-30bc-4a5d-b8ac-a228f95c015d · outbound

This paper cites Improving diffusion models for authentic virtual try-on in the wild.

Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On Improving diffusion models for authentic virtual try-on in the wild

Reference 9

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source=pdf_text observed=2026-08-01T07:07:10.432074Z digest=sha256:ecaa9debde754f8aa910410985dfbcbeda7254eef90b9e0c99049d32f9049a37

Observation 04a6e12a-b30a-4d92-b40d-3d8ad0b18e04 · outbound

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

Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffusion Models

Reference 10

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source=pdf_text observed=2026-08-01T07:07:10.570248Z digest=sha256:0142912f48ca5dc7dba22d3cc8d7eaa63b4b7740f184b6594b1328aa91034484

Observation 9d1f4cc7-dc36-4f4a-bca0-9b6b654560d3 · outbound

This paper cites Fastfit: Accelerating multi-reference virtual try-on via cacheable diffusion models,.

Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On Fastfit: Accelerating multi-reference virtual try-on via cacheable diffusion models,

Reference 11

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source=pdf_text observed=2026-08-01T07:07:10.703189Z digest=sha256:25c83c6a991301a19ab892775c6bdffb7e8ecf3c4f58da36dd572661f5113043

Observation 05c5ae53-bb18-4e62-95ff-5a8ccc25b029 · outbound

This paper cites PaddleOCR 3.0 Technical Report.

Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On PaddleOCR 3.0 Technical Report

Reference 12

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source=pdf_text observed=2026-08-01T07:07:10.931260Z digest=sha256:dacc21c71fd3a7587b2a9b5747c056473c45563043fea0ce52d8c61fdf23d3bd

Observation 8f39c8ff-efe2-4b69-af3d-73dd44c864a1 · outbound

This paper cites PaddleOCR-VL-1.5: Towards a Multi-Task 0.9B VLM for Robust In-the-Wild Document Parsing.

Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On PaddleOCR-VL-1.5: Towards a Multi-Task 0.9B VLM for Robust In-the-Wild Document Parsing

Reference 13

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source=pdf_text observed=2026-08-01T07:07:11.035105Z digest=sha256:f0f3103168a92d7be6fdb14a7a3d0bd1ebf088e8b7bd112c37d66e94273d647d

Observation e8550488-aca4-4baa-b966-1063900523b5 · outbound

This paper cites Aesthetic predictor v2.5.https://github.com/discus0434/aesthetic-predictor-v2-5, 2024.

Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On Aesthetic predictor v2.5.https://github.com/discus0434/aesthetic-predictor-v2-5, 2024

Reference 14

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source=pdf_text observed=2026-08-01T07:07:11.142335Z digest=sha256:e1d4545e12fa998c7a09563a332be4e65567ade0acb95024158beb77ab4a4585

Observation bc120e70-c419-49e9-bc2f-76ab9adf922b · outbound

This paper cites Scaling rectified flow transformers for high-resolution image synthesis.

Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On Scaling rectified flow transformers for high-resolution image synthesis

Reference 15

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source=pdf_text observed=2026-08-01T07:07:11.242698Z digest=sha256:e1457b8a32c08ee7bdeef03ecd99a485efd21302a7d2994f95cca212bbfd3c03

Observation a021bd17-4637-4d94-82b0-5fcd63dbfb3d · outbound

This paper cites Perceptual quality assessment of smartphone photography.

Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On Perceptual quality assessment of smartphone photography

Reference 16

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source=pdf_text observed=2026-08-01T07:07:11.325517Z digest=sha256:98a9a1fa79619d00b10a4a69d8cc6e8f1d1b80656c739d49da66863442852ce7

Observation c6410a2c-f4bf-4ef2-94cc-ee23ef86c3f2 · outbound

This paper cites Dynamic-TreeRPO: Breaking the Independent Trajectory Bottleneck with Structured Sampling.

Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On Dynamic-TreeRPO: Breaking the Independent Trajectory Bottleneck with Structured Sampling

Reference 17

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source=pdf_text observed=2026-08-01T07:07:11.429175Z digest=sha256:e2dbda27ebed78a5193d446780d893b8a10d5daa50c51f88a46ae479b690b5aa

Observation a72e7a94-54cb-4738-87d5-3a40930b0b4f · outbound

This paper cites Introducing nano banana pro, 2025.

Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On Introducing nano banana pro, 2025

Reference 18

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source=pdf_text observed=2026-08-01T07:07:11.510850Z digest=sha256:bf60c7240eaa3d4c4ed55c63ccf2bc3f83adbe520d19cf7a3502e28f1a220904

Observation 1333086d-9c26-44c1-9e64-ec27bea15c9f · outbound

This paper cites Gemini 3.1 pro: Announcing our latest gemini ai model.

Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On Gemini 3.1 pro: Announcing our latest gemini ai model

Reference 19

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source=pdf_text observed=2026-08-01T07:07:11.594193Z digest=sha256:dafb190194d888220b0e5fc2a82e70c48e3ec53a31f34b1aeaf9a4c97cd4c5a2

Observation 54b1af84-5644-4d99-b88b-59ad076f2753 · outbound

This paper cites Any2anytryon: Leveraging adaptive position embeddings for versatile virtual clothing tasks.

Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On Any2anytryon: Leveraging adaptive position embeddings for versatile virtual clothing tasks

Reference 20

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source=pdf_text observed=2026-08-01T07:07:11.676120Z digest=sha256:ff7660ecf1fe0191ef480cbba4c7922bf36ad24cefd8e99f978fd72926307bf8

Observation 327fb102-e7c5-427c-8c11-e84b513b725d · outbound

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

Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On Viton: An image-based virtual try-on network

Reference 21

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source=pdf_text observed=2026-08-01T07:07:11.739654Z digest=sha256:93f6d71b8c551674bb7f46e09045d11fd94ecf749bb8199bc28220a4c5a32fb0

Observation 462a74ee-6bc8-4eb9-841e-db60e27c59ec · outbound

This paper cites Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.

Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 22

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source=pdf_text observed=2026-08-01T07:07:11.812564Z digest=sha256:a9079eeda0e3b570997f369ca945773da19c99d90d93084ec3c9833d5b705e86

Observation da67da1c-3065-4dc3-a4d0-1dd2894ef18e · outbound

This paper cites Koniq-10k: An ecologically valid database for deep learning of blind image quality assessment.IEEE Transactions on Image Processing, 29:4041–4056, 2020.

Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On Koniq-10k: An ecologically valid database for deep learning of blind image quality assessment.IEEE Transactions on Image Processing, 29:4041–4056, 2020

Reference 23

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source=pdf_text observed=2026-08-01T07:07:11.897521Z digest=sha256:68a067e6f352b81667c722cc0f68b6deda8378f376f2725422417fa63b1f9585

Observation 3dd0c137-14b2-4185-ab33-52b38abb34b7 · outbound

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

Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On FitDiT: Advancing the Authentic Garment Details for High-fidelity Virtual Try-on

Reference 24

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source=pdf_text observed=2026-08-01T07:07:11.961202Z digest=sha256:be84cc416bd0339666b38dc11cd04ff747f2b55d16a543e6f5eea161fc43b525

Observation 7f2fe8a8-c533-42c3-b4ba-dd5207938fe5 · outbound

This paper cites Apddv2: Aesthetics of paintings and drawings dataset with artist labeled scores and comments.Advances in Neural Information Processing Systems, 37:103064–103075, 2024.

Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On Apddv2: Aesthetics of paintings and drawings dataset with artist labeled scores and comments.Advances in Neural Information Processing Systems, 37:103064–103075, 2024

Reference 25

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source=pdf_text observed=2026-08-01T07:07:12.006705Z digest=sha256:fee33111a31349bfb06f783e3159898bce342548df2152128b7a85dbf7d35db9

Observation d7a2fe64-9b8c-494f-b1f4-8c87effd64d5 · outbound

This paper cites PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask.

Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask

Reference 26

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source=pdf_text observed=2026-08-01T07:07:12.063284Z digest=sha256:de32aa75e3da9cf7a1385231f1c398fff58981df56ef6a983e00c270cff45043

Observation ad198736-27db-4244-8b80-994b973ee0c1 · outbound

This paper cites FLUX.2: State-of-the-Art Visual Intelligence.https://bfl.ai/blog/flux-2, 2025.

Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On FLUX.2: State-of-the-Art Visual Intelligence.https://bfl.ai/blog/flux-2, 2025

Reference 27

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source=pdf_text observed=2026-08-01T07:07:12.119077Z digest=sha256:e358c964f317926807016d52147e217ffd3702f53dd9089408f0aa8f56bc676b

Observation fdf97aa4-ca6d-4e45-9a98-c1a4f56f688e · outbound

This paper cites Flow-GRPO: Training Flow Matching Models via Online RL.

Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On Flow-GRPO: Training Flow Matching Models via Online RL

Reference 28

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source=pdf_text observed=2026-08-01T07:07:12.173567Z digest=sha256:be21e190b024eaf3066bdf19ac9d354a829e1ebbe596343f5236a001350bd90d

Observation ae438cc9-2ec0-405a-b6a1-4ec280398576 · outbound

This paper cites Hpsv3: Towards wide-spectrum human preference score.

Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On Hpsv3: Towards wide-spectrum human preference score

Reference 29

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source=pdf_text observed=2026-08-01T07:07:12.249721Z digest=sha256:825172e3ab26a7b558d6d7302974ea4e76ac58ff9d042b25d44f234659a53931

Observation 9cb2c184-ede1-4dc5-9ca8-546306902e13 · outbound

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

Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On Dress code: High-resolution multi-category virtual try-on

Reference 30

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source=pdf_text observed=2026-08-01T07:07:12.305264Z digest=sha256:7914b4dc00d8b5c2327842ee8bd037282362c0a42c165ca96f233345bac7ba7c

Observation 3eb59d3c-a6c3-451c-ad2e-9f567da37b62 · outbound

This paper cites Gpt-image-1.5 model card, 2025.

Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On Gpt-image-1.5 model card, 2025

Reference 31

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Observation 85c43a86-16c9-437a-91cc-588143036187 · outbound

This paper cites Gpt-image-2 model card, 2026.

Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On Gpt-image-2 model card, 2026

Reference 32

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source=pdf_text observed=2026-08-01T07:07:12.444104Z digest=sha256:695be61c89ec518d42a96301609d0b15d8a414530a2dec14145a8c508c4b7f71

Observation c43e05fe-9412-4f9f-af30-2e92af876430 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On High-resolution image synthesis with latent diffusion models

Reference 33

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source=pdf_text observed=2026-08-01T07:07:12.504475Z digest=sha256:2c7636c885c7fb59b146a77c31408242095b2d3a579c1dca8ec2d9efe69d1682

Observation c9fda7da-3e21-47c6-a048-4b9d621603c6 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 34

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source=pdf_text observed=2026-08-01T07:07:12.567470Z digest=sha256:7a56430dbc3691d8571b9ac5f7982a077140e64e980e5499692408b485cd67bc

Observation c1a5d00b-283e-4073-964a-8a37a63f970c · outbound

This paper cites JoyAI-Image: Awaking Spatial Intelligence in Unified Multimodal Understanding and Generation.

Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On JoyAI-Image: Awaking Spatial Intelligence in Unified Multimodal Understanding and Generation

Reference 35

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source=pdf_text observed=2026-08-01T07:07:12.634593Z digest=sha256:4980b22cd4da29ce674033d4bc732bd9d16aae64ac926a43c09520c3f1f2cf08

Observation 401a9296-5b76-48e0-b6ba-2c14ce19bb1e · outbound

This paper cites Firered-image-edit-1.0 techinical report.arXiv preprint arXiv:2602.13344, 2026.

Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On Firered-image-edit-1.0 techinical report.arXiv preprint arXiv:2602.13344, 2026

Reference 36

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source=pdf_text observed=2026-08-01T07:07:12.726474Z digest=sha256:138b1bc393d20d24fb8e68779e35829164386efe710aaf6dff769896ccddad5b

Observation a2c0f484-6e37-42b7-8c39-d110e68ae43d · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On Wan: Open and Advanced Large-Scale Video Generative Models

Reference 37

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no resolver link, observed 2026-08-01T07:07:12.789187Z

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source=pdf_text observed=2026-08-01T07:07:12.789187Z digest=sha256:7e8290118d0c47ef98cab9e9dd98fc65f8ef8b6f2ddf6b5b5545c28dcae04b20

Observation c2e075dd-07f2-4350-87bb-082eca442905 · outbound

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

Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On Toward characteristic-preserving image-based virtual try-on network

Reference 38

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no resolver link, observed 2026-08-01T07:07:12.849840Z

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source=pdf_text observed=2026-08-01T07:07:12.849840Z digest=sha256:2564b7cf89c3ad8c72e87eddc6ea2a3a933f5835a8eac3256c7cc7f931c29f4d

Observation 770d9218-e3c1-4aa9-ad4f-687a1c2da7e4 · outbound

This paper cites Retouchformer: semi-supervised high-quality face retouching transformer with prior-based selective self-attention.

Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On Retouchformer: semi-supervised high-quality face retouching transformer with prior-based selective self-attention

Reference 39

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no resolver link, observed 2026-08-01T07:07:12.911472Z

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source=pdf_text observed=2026-08-01T07:07:12.911472Z digest=sha256:08a661d0648996d77cc5703f6db1568536bcc9852998593e358f952715666554

Observation 76195db1-5304-4f40-89b9-d9355a13d80e · outbound

This paper cites Qwen-Image Technical Report.

Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On Qwen-Image Technical Report

Reference 41

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no resolver link, observed 2026-08-01T07:07:13.022994Z

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source=pdf_text observed=2026-08-01T07:07:13.022994Z digest=sha256:45afb6233d49f0737bcfd92d766472c0b54f6ab83ebeac62b33ebc5930848d53

Observation 5443a15f-9dcf-4c5d-99b4-354a278528d0 · outbound

This paper cites Editreward: A human-aligned reward model for instruction-guided image editing.arXiv preprint arXiv:2509.26346, 2025.

Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On Editreward: A human-aligned reward model for instruction-guided image editing.arXiv preprint arXiv:2509.26346, 2025

Reference 42

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no resolver link, observed 2026-08-01T07:07:13.069234Z

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source=pdf_text observed=2026-08-01T07:07:13.069234Z digest=sha256:d76dec26b543bcf08099188eada91fc52b4057bd87206a4c397f94d067d617b9

Observation 95e6c684-a1e2-4c39-8ad3-5764eecf156e · outbound

This paper cites Ootdiffusion: Outfitting fusion based latent diffusion for controllable virtual try-on.

Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On Ootdiffusion: Outfitting fusion based latent diffusion for controllable virtual try-on

Reference 43

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no resolver link, observed 2026-08-01T07:07:13.128893Z

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source=pdf_text observed=2026-08-01T07:07:13.128893Z digest=sha256:73cbdd66c3564f9cc4495563207bfa397a8efb94881105872a0f0121c5cb263c

Observation b801cd12-465b-4a72-b148-4be92f37e600 · outbound

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

Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On Tunnel try-on: Excavating spatial-temporal tunnels for high-quality virtual try-on in videos

Reference 44

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no resolver link, observed 2026-08-01T07:07:13.265034Z

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source=pdf_text observed=2026-08-01T07:07:13.265034Z digest=sha256:fe73e2e9152c42cc5ee70e1168bf95f9ab171c94f18c6c8b88689df9aa85f2d6

Observation ca365466-06b1-4fab-a1b9-1500555663d7 · outbound

This paper cites Retouchgpt: Llm-based interactive high-fidelity face retouching via imperfection prompting.

Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On Retouchgpt: Llm-based interactive high-fidelity face retouching via imperfection prompting

Reference 45

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no resolver link, observed 2026-08-01T07:07:13.432841Z

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source=pdf_text observed=2026-08-01T07:07:13.432841Z digest=sha256:c40f5afaa823c1292830fb7d8297c0189c95a4d9bb7e11da7f9d7d3f427ac47f

Observation b12dfc64-932d-438d-8a3b-17a47a48d325 · outbound

This paper cites DiffusionNFT: Online Diffusion Reinforcement with Forward Process.

Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On DiffusionNFT: Online Diffusion Reinforcement with Forward Process

Reference 46

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no resolver link, observed 2026-08-01T07:07:13.586343Z

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source=pdf_text observed=2026-08-01T07:07:13.586343Z digest=sha256:3cff52f4d02050ae45d8cd967981f3c746ba6641ee5dbed5c5a0321ebfddc349

Observation 3a758785-f5d2-4a0e-b77f-959efb304498 · outbound

This paper cites Learning Flow Fields in Attention for Controllable Person Image Generation.

Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On Learning Flow Fields in Attention for Controllable Person Image Generation

Reference 47

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no resolver link, observed 2026-08-01T07:07:13.806326Z

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source=pdf_text observed=2026-08-01T07:07:13.806326Z digest=sha256:64f198bdb552180c69a05a2248906ed5ed938d3985a164cf30aa9338d6dc2b6c

Observation 2f987d53-c748-4b2f-a4a5-ba313ac44b74 · outbound

This paper cites FastFit: Accelerating Multi-Reference Virtual Try-On via Cacheable Diffusion Models.

Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On FastFit: Accelerating Multi-Reference Virtual Try-On via Cacheable Diffusion Models

Reference 2025

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no resolver link, observed 2026-08-01T07:07:10.820955Z

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source=pdf_text observed=2026-08-01T07:07:10.820955Z digest=sha256:43cab4492eecba0f1292929642bb31f1540b5cd494055113cbf20fec77780f14

Pith citing papers

No inbound Pith citation observations are available.