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Paper Citation Record · LEDGER

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

As of 12 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 5 inbound Pith citation observations for arXiv:2412.16978.

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

pith.paper-citation-record.v1
2412.16978 v2

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T06:00:07.493596Z

measured 62 of 62 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T11:22:44.016767Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z

Reference resolution

57 of 57 outbound references displayed

  • verified exact1
  • verified fuzzy23
  • unresolved33
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c93e4509-b6b7-4cd4-8bf3-88300ae63b53 · outbound

This paper cites GPT-4 Technical Report.

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask GPT-4 Technical Report

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:00:07.226489Z digest=sha256:98c2ff78d0870966aa8c3e865cd04f18b404f20fb0a135451d4a947af8c7e5ff

Observation 61ff70bd-fefd-48c5-bfd8-fc20e0f04c34 · outbound

This paper cites Flamingo: a visual language model for few-shot learning.Advances in neural information processing systems, 35:23716–23736,.

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask Flamingo: a visual language model for few-shot learning.Advances in neural information processing systems, 35:23716–23736,

Reference 2

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Observation b2615188-0cb0-4c0e-a0c2-0c512da3892d · outbound

This paper cites Single stage virtual try-on via deformable attention flows.

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask Single stage virtual try-on via deformable attention flows

Reference 3

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 0db2d311-c9eb-41ac-a780-6fc52bbf3384 · outbound

This paper cites Improving image captioning descriptive- ness by ranking and llm-based fusion.arXiv preprint arXiv:2306.11593, 2023.

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask Improving image captioning descriptive- ness by ranking and llm-based fusion.arXiv preprint arXiv:2306.11593, 2023

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:00:07.248756Z digest=sha256:c7d26965befca399ec5b153b5d62981392f49414f74fddbcb356d492b380c91b

Observation 793075a6-d92b-483f-b20f-af1eb35594a1 · outbound

This paper cites Demystifying MMD GANs.

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask Demystifying MMD GANs

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:00:07.253514Z digest=sha256:3a6607c55c607804db1915dfe6925a1c15ec367cfdfbe778cf9d888a4b00fee9

Observation 3142e66e-a35e-4dde-8589-2993c73c6f96 · outbound

This paper cites In- structpix2pix: Learning to follow image editing instructions.

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask In- structpix2pix: Learning to follow image editing instructions

Reference 6

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no resolver link, observed 2026-08-11T06:00:07.257899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:00:07.257899Z digest=sha256:4d6f3667cf525f4036ef2a99f251fc166ba391d9ecbdcbdb0c809f8d814e99a0

Observation 17821a4f-65d7-4a42-ae2d-ed372a09115a · outbound

This paper cites Language Models are Few-Shot Learners.

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask Language Models are Few-Shot Learners

Reference 7

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no resolver link, observed 2026-08-11T06:00:07.262481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:00:07.262481Z digest=sha256:d5168618d5793765e835039d18a601af072459368a8037bf11468ec7d7a8eb95

Observation 7361e0d8-8e16-4240-b3a3-0c83032e3798 · outbound

This paper cites PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis.

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:00:07.267164Z digest=sha256:5a15c2bd0c145885595c735fe28eeeea9bc3cac2e6d7e685bbe3af2b362c27a2

Observation 4d44d930-fe44-4fd1-913d-87f5f5566590 · outbound

This paper cites Wear-Any-Way: Manipulable Virtual Try-on via Sparse Correspondence Alignment.

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask Wear-Any-Way: Manipulable Virtual Try-on via Sparse Correspondence Alignment

Reference 9

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no resolver link, observed 2026-08-11T06:00:07.273119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:00:07.273119Z digest=sha256:c930ace02b7fa27d1818d277c4b42f0ccfb4d2a5c6e33a4f3164d8a25e7f1c3d

Observation 5b95c9cd-612b-4e79-b090-ed42eb69ba22 · outbound

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

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask Viton-hd: High-resolution virtual try-on via misalignment-aware normalization

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 08ea7938-e97a-4fd2-836d-bf8a71492388 · outbound

This paper cites Improving Diffusion Models for Authentic Virtual Try-on in the Wild.

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask Improving Diffusion Models for Authentic Virtual Try-on in the Wild

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9c580500-5d14-4d9d-b70c-f1ed0c2bc7c8 · outbound

This paper cites Torchmetrics-measuring reproducibility in pytorch.

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask Torchmetrics-measuring reproducibility in pytorch

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-11T06:00:08.329817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 00a44438-49a6-4a8c-bf41-3e7be47db50a · outbound

This paper cites Diffusion models beat gans on image synthesis.Advances in neural informa- tion processing systems, 34:8780–8794, 2021.

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask Diffusion models beat gans on image synthesis.Advances in neural informa- tion processing systems, 34:8780–8794, 2021

Reference 13

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source=pdf_text observed=2026-08-11T06:00:07.301500Z digest=sha256:8e479699f2ef250add80ccc2d441de63a983d7dba53135529e5fdeba946f7ed7

Observation 7b73d3be-ecba-423c-8783-c4ad7a449935 · outbound

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

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask Scaling rectified flow transformers for high-resolution image synthesis

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:08.306997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T06:00:07.307458Z digest=sha256:234ca762bd51b44d02db4033fe19f0235fdf3284f41498405c83ce40a2c8abe4

Observation cf6d3f7d-c177-449d-b488-343207c19e1c · outbound

This paper cites StyleGAN-Human: A Data-Centric Odyssey of Human Generation.

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask StyleGAN-Human: A Data-Centric Odyssey of Human Generation

Reference 15

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no resolver link, observed 2026-08-11T06:00:07.312349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8af082c8-070b-4af2-bbed-2e9ce80542d8 · outbound

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

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask Parser-free virtual try-on via distilling appearance flows

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-11T06:00:08.293580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T06:00:07.318354Z digest=sha256:3f1c4b821d1af04094393a8d19102cff4a6a7f9be4db7d4a08cc1d5f7f9f64da

Observation a6f41bb6-3e52-4245-8c17-81ece2211cf1 · outbound

This paper cites Generative adversarial networks.Commu- nications of the ACM, 63(11):139–144, 2020.

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask Generative adversarial networks.Commu- nications of the ACM, 63(11):139–144, 2020

Reference 17

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T06:00:07.323576Z digest=sha256:a69cbf6b7af52cd27df2236ead695ed01dda93ce35c20e9d59d0116687895c2d

Observation 5e816e77-a8e1-4fc6-ad02-6110238008c1 · outbound

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

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask Taming the Power of Diffusion Models for High-Quality Virtual Try-On with Appearance Flow

Reference 18

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Unavailable: canonical work link unavailable.

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Observation dd51b60e-32d2-4747-8337-378d42bbc72d · outbound

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

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask Densepose: Dense human pose estimation in the wild

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 23d62451-baf3-42c9-bfc4-1038b651d0dd · outbound

This paper cites Video-Bench: Human-Aligned Video Generation Benchmark.

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask Video-Bench: Human-Aligned Video Generation Benchmark

Reference 20

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Observation 754afbe9-9c45-454c-94c7-110a472199d9 · outbound

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

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask Viton: An image-based virtual try-on network

Reference 21

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Observation 494b8ca1-a8c8-44bd-b94d-a9ffa46c2c02 · outbound

This paper cites Clothflow: A flow-based model for clothed person generation.

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask Clothflow: A flow-based model for clothed person generation

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 63e51d18-53b0-4eb2-93b2-9cda4a526e44 · outbound

This paper cites Image analysis using mathematical morphology.

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask Image analysis using mathematical morphology

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation de4cddc8-6215-422c-9cb9-ee507738f46a · outbound

This paper cites GANs trained by a two time-scale update rule converge to a local nash equi- librium.

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask GANs trained by a two time-scale update rule converge to a local nash equi- librium

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 82f05826-c020-4715-972b-6af472198784 · outbound

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

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7140125f-3281-43ca-a2c0-3d69dc719891 · outbound

This paper cites co / diffusers / stable - diffusion - xl - 1.

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask co / diffusers / stable - diffusion - xl - 1

Reference 26

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 01a96c96-bb60-4a51-a55f-ada531fbf2ad · outbound

This paper cites Sapiens: Foundation for human vision mod- els.

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask Sapiens: Foundation for human vision mod- els

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 0f5f672a-ad4b-4233-b103-8b2ba4f29814 · outbound

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

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask Stableviton: Learning semantic correspon- dence with latent diffusion model for virtual try-on

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-11T06:00:08.174172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 48f2eb87-8271-4596-acf8-8f00a045f90c · outbound

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

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask High-resolution virtual try-on with misalignment and occlusion-handled conditions

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-11T06:00:08.161362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T06:00:07.374557Z digest=sha256:c4fa80976420412e5bc6af15091577fee1e18feb36d1f040902bd4dc55316f40

Observation 183b1db5-8cb0-452e-b8da-bbfcc685e3ed · outbound

This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:00:07.378203Z digest=sha256:999af1e24297a37cab6c05e8ccf34b1dbb8a8ebe3f64294ed726bc3445be0837

Observation 99172651-1aa0-4b79-94a3-c6d6d86e10c8 · outbound

This paper cites Controlling virtual try-on pipeline through render- ing policies.

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask Controlling virtual try-on pipeline through render- ing policies

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-11T06:00:08.141439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation f8b8b564-ba0d-48d0-bfa7-2af13d8af77c · outbound

This paper cites How to configure good in-context sequence for visual question answering.

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask How to configure good in-context sequence for visual question answering

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-11T06:00:08.128199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T06:00:07.387185Z digest=sha256:e45ad808cc27e9e55b35115e2c259ed7748b5bac6cb490c9fcbeaf11fb2a4ad8

Observation d927f8f5-e0d0-4233-b90b-d11b9df26a3f · outbound

This paper cites Cosmicman: A text-to-image foun- dation model for humans.

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask Cosmicman: A text-to-image foun- dation model for humans

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:08.113932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T06:00:07.391111Z digest=sha256:796006de7c8d708ade2ede3557ba1b07ec861d5b62d4f3cf52ec2250f33a7634

Observation f33bd494-952d-4601-8df6-64563dfab0a1 · outbound

This paper cites AnyFit: Controllable Virtual Try-on for Any Combination of Attire Across Any Scenario.

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask AnyFit: Controllable Virtual Try-on for Any Combination of Attire Across Any Scenario

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-11T06:00:07.395599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:00:07.395599Z digest=sha256:774e003abb0a0fda70e2526cfeb8b4ddece51bddf78eeaa9b975ca5ecbc476e4

Observation 83acf1ec-5980-4663-a581-79438dc8b34e · outbound

This paper cites Visual instruction tuning.Advances in neural information processing systems, 36, 2024.

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask Visual instruction tuning.Advances in neural information processing systems, 36, 2024

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-11T06:00:07.400511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:00:07.400511Z digest=sha256:cd8b0519d6fc6610762343023c6f0d343a0539befee68129b3379a959fa9c344

Observation a070a401-af41-4cf3-bf4b-5f1b4a630075 · outbound

This paper cites Valley: Video Assistant with Large Language model Enhanced abilitY.

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask Valley: Video Assistant with Large Language model Enhanced abilitY

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-11T06:00:07.404751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:00:07.404751Z digest=sha256:b4e77df9aed3ffbbf172516139c6568affaadca00d80f2f8796e4003e4b55c03

Observation d3a11564-2a56-4fb1-8257-eca900266076 · outbound

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

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask Dress code: High- resolution multi-category virtual try-on

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:08.092454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T06:00:07.409608Z digest=sha256:7a5a09e2c2a56620613d58faf36738b0db938a78fc2ead72fac24c2a64503a5b

Observation 64569342-3ccf-40eb-bf41-6273bfaa9d59 · outbound

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

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-11T06:00:07.413265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:00:07.413265Z digest=sha256:0950ccf92ee8e96ee0f7fbf90e04757205a43295c04cc847a1414d7b27bebaa0

Observation 10597d85-0268-4773-b212-ae4b2b1d5094 · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T06:00:07.417453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:00:07.417453Z digest=sha256:a37cf0ebe874b44bb2c1eb5a32977e255ec65eb53133bfdf3863623b7b0b2f89

Observation d96b6bb4-e2b0-4bec-a2e1-596365d808f7 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.Journal of machine learning research, 21(140):1–67, 2020.

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask Exploring the limits of transfer learning with a unified text-to-text transformer.Journal of machine learning research, 21(140):1–67, 2020

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:08.080907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T06:00:07.421374Z digest=sha256:fee002ba054e0f69a8b345e69f9806e632ed5e0724dd40fdacd023e430c441b3

Observation 9494d4b7-beb9-4b56-9294-e48717fd539e · outbound

This paper cites Zero-shot text-to-image generation.

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask Zero-shot text-to-image generation

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:08.069075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T06:00:07.425246Z digest=sha256:184ae74ba4d80c85a803903a325a86a69ab91cf3c05a479e72decb7e707db837

Observation 421a0abd-d21a-40ab-aa39-a946d7b6309f · outbound

This paper cites Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks.

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-11T06:00:07.429865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:00:07.429865Z digest=sha256:a5ab6a7478274070313a45be3eec2fc3f7d9fadfec3d2c08712910e0533a12ee

Observation 0a875919-45b1-4b43-ade1-5712e3aa3c24 · outbound

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

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask High-resolution image synthesis with latent diffusion models

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-11T06:00:07.434262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:00:07.434262Z digest=sha256:c903311f187875476bab3eccea1631ac4b65a0fe8f39943974916cd5cb18e9e9

Observation 8196b393-3b6b-412c-a5be-9f0829e35844 · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.Advances in neural information processing systems, 35:36479–36494, 2022.

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask Photorealistic text-to-image diffusion models with deep language understanding.Advances in neural information processing systems, 35:36479–36494, 2022

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-11T06:00:07.438757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:00:07.438757Z digest=sha256:896c777bd65ea56346cd4b929f4d1bb95b1a14ab07e935340ed0e79f3c0ba3db

Observation 5d04592f-423e-40c9-b2fd-5f7f23bd6888 · outbound

This paper cites IMAGDressing-v1: Customizable Virtual Dressing.

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask IMAGDressing-v1: Customizable Virtual Dressing

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-11T06:00:07.443097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:00:07.443097Z digest=sha256:a10287c19aa5a5f9cb82b6e68032d7b6a7b55af2b777ab5f95476a1da7af7447

Observation 5ae71a54-6259-4b96-bdd9-bfe667c52e1c · outbound

This paper cites Emergent correspondence from image diffusion.Advances in Neural Information Pro- cessing Systems, 36:1363–1389, 2023.

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask Emergent correspondence from image diffusion.Advances in Neural Information Pro- cessing Systems, 36:1363–1389, 2023

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-11T06:00:07.447664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:00:07.447664Z digest=sha256:b775133fa5ecaa652d6db242d8ceb0c1e52ca6499d0371d8c26c6d643bc3ca57

Observation f6ae1a33-3f47-48fa-a331-2fe1f72c10ec · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask LLaMA: Open and Efficient Foundation Language Models

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-11T06:00:07.451539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:00:07.451539Z digest=sha256:381e722ed6e6049dfcf6cc6ebee5d4831c4d632577f668ec8e53bc330c0182b1

Observation 9a1fcc05-b834-40ea-9d73-597f106a9678 · outbound

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

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask Toward characteristic-preserving image-based virtual try-on network

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:08.033398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T06:00:07.455723Z digest=sha256:fa11eee7e00b48c883ec5229bb8c56c28f97b9b402a99bcb1e42c87fabdc961d

Observation 10e8e4c3-0235-4081-8fbf-f98512cf14b3 · outbound

This paper cites Visionllm: Large language model is also an open- ended decoder for vision-centric tasks.Advances in Neural Information Processing Systems, 36, 2024.

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask Visionllm: Large language model is also an open- ended decoder for vision-centric tasks.Advances in Neural Information Processing Systems, 36, 2024

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-11T06:00:07.459919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:00:07.459919Z digest=sha256:a82abd7bc7c0b0670453506ec045957724635e3cfaa40932d12fac18d9817363

Observation a3d811d8-0a80-42d6-8834-f0d5c4be0f4d · outbound

This paper cites Real-esrgan: Training real-world blind super-resolution with pure synthetic data.

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask Real-esrgan: Training real-world blind super-resolution with pure synthetic data

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-11T06:00:07.464118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:00:07.464118Z digest=sha256:0dfe17916260fc5b6b096e735550999d4a000303fc7b393da6f87b96945b4780

Observation e8f94cd9-2f36-4559-82e9-de2a2a8b99c9 · outbound

This paper cites Magicanimate: Temporally consistent human im- age animation using diffusion model.

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask Magicanimate: Temporally consistent human im- age animation using diffusion model

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:08.003717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T06:00:07.468217Z digest=sha256:d940e357e22dd4db3cf18008102eb12ec36ed870b4eb75ae80d54b81f694db53

Observation 43f59882-e74d-4b61-b8e8-53256c52d9ae · outbound

This paper cites Towards photo-realistic virtual try-on by adaptively generating-preserving image content.

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask Towards photo-realistic virtual try-on by adaptively generating-preserving image content

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:07.989027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T06:00:07.471726Z digest=sha256:313042708cb08eda82e276dfc187d49596b81fc6ad9a79467f6c4d039afd4fac

Observation 487b7e90-2f69-4a69-bc0f-0e940adf399b · outbound

This paper cites Lc-vton: Length control- lable virtual try-on network.IEEE Access, 2023.

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask Lc-vton: Length control- lable virtual try-on network.IEEE Access, 2023

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T06:00:07.975145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T06:00:07.475622Z digest=sha256:ed3cf57fc33b08397222a5e7af6430d2dd548d6581baa79b0a9dab2821dd16b7

Observation bd5c6bcf-9e15-47c5-9f10-5394fd2ade39 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask The unreasonable effectiveness of deep features as a perceptual metric

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-11T06:00:07.479564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:00:07.479564Z digest=sha256:c920f2b2f478c7345c2136c099d464c2620581608e85fd34723c0c807e364967

Observation d7adab8b-9b2b-4948-8a41-22101799248f · outbound

This paper cites GPT-4V(ision) as a Generalist Evaluator for Vision-Language Tasks.

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask GPT-4V(ision) as a Generalist Evaluator for Vision-Language Tasks

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-11T06:00:07.483518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:00:07.483518Z digest=sha256:552236c9234e8b991b5fc6f5d243eb31ffc69d768b2c445d3d98f3ff2053fed8

Observation 85f69d94-1b3c-4c70-a585-1acfdaee9a87 · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-11T06:00:07.489032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:00:07.489032Z digest=sha256:39f19481a477ac71dbf815ed2a7057781fd314f3df2c6c22dc539199d307b177

Observation 5daa1d27-47c0-4355-9e8e-028326fa3b76 · outbound

This paper cites untucked, tight fit, and sleeve rolled up.

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask untucked, tight fit, and sleeve rolled up

Reference 57

Resolution
verified exact
raw_fallback, observed 2026-08-11T06:00:07.618955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T06:00:07.493596Z digest=sha256:e93b1d0b98396c9e165ab905bc9919b8b6b6764c0f1a6f8bfb665453d7a24eb0

Pith citing papers

Observation 9077b3dc-ea10-45b2-bcf9-3721185f93f6 · inbound

RefTon: Reference person shot assist virtual Try-on cites this paper.

RefTon: Reference person shot assist virtual Try-on PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:40:36.941184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-18T01:39:44.746738Z digest=sha256:cdc1481b52546314a8bb93e4ea23fc05d58fe8e18573cdd098cfaee1f765a0b0

Observation 8ce795b1-9587-42ea-a08e-b77ac708f2fc · inbound

TripVVT: A Large-Scale Triplet Dataset and a Coarse-Mask Baseline for In-the-Wild Video Virtual Try-On cites this paper.

TripVVT: A Large-Scale Triplet Dataset and a Coarse-Mask Baseline for In-the-Wild Video Virtual Try-On PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-05-09T05:05:12.046374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-07T05:43:04.644875Z digest=sha256:c0b0eacbc69a960aaf4404ffe82a7e5500bd1546a53f996eb340690bd90135a1

Observation 2f0da9de-829a-4229-9363-cb9ac4ce83e3 · inbound

Structure-Detail Decoupled Autoregressive Generation for Fast and High-Fidelity Virtual Try-On cites this paper.

Structure-Detail Decoupled Autoregressive Generation for Fast and High-Fidelity Virtual Try-On PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask

Reference 59

Resolution
unresolved
no resolver link, observed 2026-07-14T06:07:50.554280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T06:07:50.554280Z digest=sha256:506e5a00a674e541e8276bcf449edf113073ab5c5d769769667213559eee84b6

Observation fd55e598-8c5e-4ac2-b5d5-5879cfa184f0 · inbound

WearWow: Native 2K Multi-Garment Virtual Try-On via Adaptive Token Packing and Preference Alignment cites this paper.

WearWow: Native 2K Multi-Garment Virtual Try-On via Adaptive Token Packing and Preference Alignment PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-01T11:22:44.016767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T11:22:44.016767Z digest=sha256:7b396874ce04b0b015152b91770eede3b27b935970062e79e183d862b04075f9

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

Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-01T07:07:12.063284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T07:07:12.063284Z digest=sha256:7b7a1dd1c3ae78545c4fec4654030f09cd6895dcf69d64e05c0ad79ae4f97a32