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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 16 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 6 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 63 of 63 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:47:47.161876Z

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
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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=sha256:4a9441df1705bdf7c08e3361c97dee588b7d1bcdd3e32db2de4e933a5fc0856f

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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no resolver link, observed 2026-08-11T06:00:07.234938Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:00:07.234938Z digest=sha256:5592fbb92575a727f0f35c30f53cd1e1ecce0a9ee37b2668c552360ea0d501f4

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
raw_fallback, observed 2026-08-11T06:00:08.365894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T06:00:07.243908Z digest=sha256:ba5be6fdc611c95707674817a4b157e96618945479e0b2fc46ca279bcc5b1da0

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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no resolver link, observed 2026-08-11T06:00:07.248756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:00:07.248756Z digest=sha256:825f0f3025e1f507c0fda481786d4d1eea9c1431d359a0d8f53412b9ff329dce

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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no resolver link, observed 2026-08-11T06:00:07.253514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:00:07.253514Z digest=sha256:2e3b9488e7a8238db64440be255ffc1374dfff1d02d9a43130d282002c84bc4c

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=sha256:572adcc35936e3f48a508a9551850c8d18d31c2c50bbfd45db27a3163cf9f108

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=sha256:51214476d42cbdc4b9cc2631b043953ffa880ae8f366bf4f02314e0a3ef4efa8

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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no resolver link, observed 2026-08-11T06:00:07.267164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:00:07.267164Z digest=sha256:d8e2c9849f124e4d1383a4f7c6855a238c0a032fcf627b581fffa707f75dbe0c

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=sha256:9564858c5d5690e93d7fa3941dd4c0417f10b99496c951f30f43869f3afcc043

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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raw_fallback, observed 2026-08-11T06:00:08.346054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+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.

source=pdf_text observed=2026-08-11T06:00:07.288697Z digest=sha256:3fb483e405a7c2ffd1e88b63f56e5ed782ff403374b4817f4332fe409fd2a551

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

Resolution
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T06:00:07.296396Z digest=sha256:6900fa0b08c357e28fb403e1fdade8977fb2a336b7a1139a7d1de6b451cf09a6

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=sha256:6a88301d00426ca3b896052591067be8f314577f1c2bf68448d0ed974669b82d

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T06:00:07.307458Z digest=sha256:0d72bee4316a7a283a582a13d2655a1a5ace5b393d1886c637a89887215b2c28

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.

source=pdf_text observed=2026-08-11T06:00:07.312349Z digest=sha256:dd86e64134acf82bad2664a06ff9729188c91970899c7c0934e5014d1b5dbc74

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

Resolution
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T06:00:07.318354Z digest=sha256:5813af9abbf5f1852b32469c58e98a549eff811870291dc838e5d2b1ba03ed6e

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:00:07.323576Z digest=sha256:c43080a26cd5c769b0ea1720cfce84cf7d8cfeacae3e3676f707fbd60deeeca7

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
raw_fallback, observed 2026-08-11T06:00:08.268982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:00:07.336941Z digest=sha256:febd5d2cd835668e18214a499e6da9713b4fbfc3461743e6794078baf5cdf608

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:00:07.341202Z digest=sha256:5ba48227e6c0945d4e5961a4f64332deab7993c4f426c552911ae4a2cbbd535d

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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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.

source=pdf_text observed=2026-08-11T06:00:07.358083Z digest=sha256:a6deace8b947a363028e2b4f81d152c5faca8ef2d324a1b14c913e5e8c3e1f4e

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
raw_fallback, observed 2026-08-11T06:00:08.199739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+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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verified fuzzy
raw_fallback, observed 2026-08-11T06:00:08.187073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+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

Resolution
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T06:00:07.370874Z digest=sha256:03dd31179085609125a8c6fb88dc78fb936dc82d51d3e83a43d37e0e86f1702c

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

Resolution
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T06:00:07.374557Z digest=sha256:cacc682205f00cbf5b30e3dc7aef9966deeb955821ef9b12922459490b20466e

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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no resolver link, observed 2026-08-11T06:00:07.378203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:00:07.378203Z digest=sha256:5d75894bb315e3a4b4759f0ae1d49ef96a6370f9b2550869336d4a018d89266a

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

Resolution
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T06:00:07.382473Z digest=sha256:650fedbd0022e981f49b0862aea443ebf516ca1b567ea73ff1801be1f004746f

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T06:00:07.387185Z digest=sha256:85bb0a85c57af86177077935ec6687cfc8ce67a7659711945527380b4ab5da10

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T06:00:07.391111Z digest=sha256:f05b9b6e30204bbc00cc93b2c5e26fae5f5b9ccc5007454fd9c20d279afe8aa8

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=sha256:79c537d68d0dd7acbdfe06e709893a29afc9a935e2c0826865383e36a4629ba1

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=sha256:480d0a7aebfa5667f89c6cc3dd969e63a118910a12e021e717b7eaaa1814c3ec

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:c234c42f7e08311be65769de755a7b1fdd9970abf364b2398b8269e2f7aeb73a

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T06:00:07.409608Z digest=sha256:889c2b7a6b4d2eaa6ab44fedfd1a9fcc6b08677d4447b6d1457c6cbee4d4f876

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:cc63a365f304ebb914f96e482c534ec070f482b19d49f3db0f894224bbfef0ad

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=sha256:91d42f9b2ec9beca0706c4af2c308c639bf0c7222d627ffd3bfe5153e9a79266

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T06:00:07.421374Z digest=sha256:2c8139087506d1e66a16891f95b6a2f63711218d3182dd7a8b6b1ab661743702

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T06:00:07.425246Z digest=sha256:cddf18232f4259c8509b928f0d44c6b1a0faa61440c8da4d3823eacb14bb6356

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=sha256:8f3e9f37ab7476f6e0e7eab6cee6cb946db048d59550d83f48a292398559ef6f

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=sha256:1d118f19661e9db9bfb5f4e5ede601735d3886ae28e614945e3b124710101285

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:e8dc47e0e8c958e5cd3dadf097372eee5701618e2a1c8e00de86544c9cbc3d24

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=sha256:5b8ccd395e9479a86e49c87d7f052103ab27921db502a7993059ab72a26dd038

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=sha256:3ab9309ece473672eed7914a07519816c77a2c8f05e35c101dc30ea47c90e22f

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=sha256:1cdcdc3ec3b7271db15792ed414e897646ab63779626ca72fcbd2a49b4fb650d

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T06:00:07.455723Z digest=sha256:ec9b7b45d4d06478a41f8c05c5b317e5dc5fa88377651c3cac83458e8c1347f5

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=sha256:151bdf10f78efd610ad2d0733bb8d13de24de1cbe32ef4e164016bd7d8700afa

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=sha256:3150dc795202e069c673285a94e9658b347872aecc7df6d465e8b325aa6ea052

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T06:00:07.468217Z digest=sha256:17aa63511d3a2b3203e4101da50b2df7157b3f02a182afa75c835b963f855035

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T06:00:07.471726Z digest=sha256:ce824459ca3a10f5c360b04d16bcbac5ffa845a242d9fc3238319726f9c54db7

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T06:00:07.475622Z digest=sha256:7a751412ae622b5991ca112fa47bb499244e2976b590f459e1429fd4a72df24e

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=sha256:66808b42d3987b7fc5488bc7ff333b1a022ca1af9fa2d713d8ef4c1b62060d7f

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=sha256:1466e66edc7261388826eaec262ef33286ac641b61c02b48c3753ede808189b1

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:b2f4771015c02096bd84fdd458949c6a0fedb7968334ebb0f28bb98f27d71917

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T06:00:07.493596Z digest=sha256:bec99b6f13ffa6fe479d057217fadd8ffa3690e6cddbabb1afba71e4f3d7860e

Pith citing papers

Observation 08f3bddb-4df6-47c1-b674-834e42de8b1e · inbound

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

FastFit: Accelerating Multi-Reference Virtual Try-On via Cacheable Diffusion Models PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-15T16:47:47.161876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:47:47.161876Z digest=sha256:b4332fe2fb5c43ab1bcb3a0733341479f2c1d2a2012c57bf3010afd4a368eac7

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-18T01:39:44.746738Z digest=sha256:27191300344cb328181e06e920f32ab77af5a5023d6b28ed6e7c724be473d8e0

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-07T05:43:04.644875Z digest=sha256:5fa92314118fcb3a1fe3da35595db78d1a11402308c58a6f41b2a253aa1b743e

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:b199a5ec547a67d6e046e3fad6d9f30498d4d5feda0acbb6b9b85303e356741f

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=sha256:5663d5e74423c3acdc90e6741c029447f355f242aab2a93315e4f1a34939fcf1

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=sha256:46f8abeab4c4067c5898f29200c480fbac35ccc9b7db07d411560da762c7272a