Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T06:00:07.493596Z
Paper Citation Record · LEDGER
As of 11 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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T06:00:07.493596Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T11:22:44.016767Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z
57 of 57 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation c93e4509-b6b7-4cd4-8bf3-88300ae63b53 · outbound
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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Observation 61ff70bd-fefd-48c5-bfd8-fc20e0f04c34 · outbound
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
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
Source-reported events for the cited work
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Observation 0db2d311-c9eb-41ac-a780-6fc52bbf3384 · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 793075a6-d92b-483f-b20f-af1eb35594a1 · outbound
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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Observation 3142e66e-a35e-4dde-8589-2993c73c6f96 · outbound
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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Unavailable: canonical work link unavailable.
Observation 17821a4f-65d7-4a42-ae2d-ed372a09115a · outbound
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
Source-reported events for the cited work
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Observation 7361e0d8-8e16-4240-b3a3-0c83032e3798 · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4d44d930-fe44-4fd1-913d-87f5f5566590 · outbound
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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Observation 5b95c9cd-612b-4e79-b090-ed42eb69ba22 · outbound
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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Observation 08ea7938-e97a-4fd2-836d-bf8a71492388 · outbound
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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Observation 9c580500-5d14-4d9d-b70c-f1ed0c2bc7c8 · outbound
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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Observation 00a44438-49a6-4a8c-bf41-3e7be47db50a · outbound
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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Observation 7b73d3be-ecba-423c-8783-c4ad7a449935 · outbound
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
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Observation cf6d3f7d-c177-449d-b488-343207c19e1c · outbound
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
Source-reported events for the cited work
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Observation 8af082c8-070b-4af2-bbed-2e9ce80542d8 · outbound
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
Source-reported events for the cited work
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Observation a6f41bb6-3e52-4245-8c17-81ece2211cf1 · outbound
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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Observation 5e816e77-a8e1-4fc6-ad02-6110238008c1 · outbound
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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Observation dd51b60e-32d2-4747-8337-378d42bbc72d · outbound
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
Source-reported events for the cited work
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Observation 23d62451-baf3-42c9-bfc4-1038b651d0dd · outbound
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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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
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
Source-reported events for the cited work
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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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Observation de4cddc8-6215-422c-9cb9-ee507738f46a · outbound
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
Source-reported events for the cited work
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Observation 82f05826-c020-4715-972b-6af472198784 · outbound
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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Observation 7140125f-3281-43ca-a2c0-3d69dc719891 · outbound
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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Observation 01a96c96-bb60-4a51-a55f-ada531fbf2ad · outbound
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
Source-reported events for the cited work
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Observation 0f5f672a-ad4b-4233-b103-8b2ba4f29814 · outbound
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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Observation 48f2eb87-8271-4596-acf8-8f00a045f90c · outbound
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
Source-reported events for the cited work
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Observation 183b1db5-8cb0-452e-b8da-bbfcc685e3ed · outbound
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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Observation 99172651-1aa0-4b79-94a3-c6d6d86e10c8 · outbound
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Reference 31
Source-reported events for the cited work
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Observation f8b8b564-ba0d-48d0-bfa7-2af13d8af77c · outbound
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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Observation d927f8f5-e0d0-4233-b90b-d11b9df26a3f · outbound
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
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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
Source-reported events for the cited work
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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
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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
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Observation d3a11564-2a56-4fb1-8257-eca900266076 · outbound
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
Source-reported events for the cited work
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Observation 64569342-3ccf-40eb-bf41-6273bfaa9d59 · outbound
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
Source-reported events for the cited work
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Observation 10597d85-0268-4773-b212-ae4b2b1d5094 · outbound
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
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Observation d96b6bb4-e2b0-4bec-a2e1-596365d808f7 · outbound
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
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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
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Observation 421a0abd-d21a-40ab-aa39-a946d7b6309f · outbound
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
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Observation 0a875919-45b1-4b43-ade1-5712e3aa3c24 · outbound
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
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Observation 8196b393-3b6b-412c-a5be-9f0829e35844 · outbound
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
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Observation 5d04592f-423e-40c9-b2fd-5f7f23bd6888 · outbound
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
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Observation 5ae71a54-6259-4b96-bdd9-bfe667c52e1c · outbound
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
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Observation f6ae1a33-3f47-48fa-a331-2fe1f72c10ec · outbound
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
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Observation 9a1fcc05-b834-40ea-9d73-597f106a9678 · outbound
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
Source-reported events for the cited work
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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
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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
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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
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Observation 43f59882-e74d-4b61-b8e8-53256c52d9ae · outbound
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
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Observation 487b7e90-2f69-4a69-bc0f-0e940adf399b · outbound
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
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Observation bd5c6bcf-9e15-47c5-9f10-5394fd2ade39 · outbound
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
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Observation d7adab8b-9b2b-4948-8a41-22101799248f · outbound
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
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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
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Observation 5daa1d27-47c0-4355-9e8e-028326fa3b76 · outbound
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
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Observation 9077b3dc-ea10-45b2-bcf9-3721185f93f6 · inbound
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Reference 13
Source-reported events for the cited work
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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 PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask
Reference 24
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Observation 2f0da9de-829a-4229-9363-cb9ac4ce83e3 · inbound
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
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Reference 19
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Observation d7a2fe64-9b8c-494f-b1f4-8c87effd64d5 · inbound
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Reference 26
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