Paper Citation Record · LEDGER

Learning Implicit Features with Flow Infused Attention for Realistic Virtual Try-On

As of 21 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 1 inbound Pith citation observation for arXiv:2412.11435.

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

pith.paper-citation-record.v1
2412.11435 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:00:23.977030Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:01:56.448712Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T17:01:57.253188Z

Reference resolution

31 of 31 outbound references displayed

verified exact1
verified fuzzy20
unresolved10
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 48533a8e-9ed9-4b9a-8fae-9f49eafa7ff0 · outbound

This paper cites Stable diffusion 2.1.

Learning Implicit Features with Flow Infused Attention for Realistic Virtual Try-On Stable diffusion 2.1

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:00:24.416867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d28668c7-ad68-40be-9126-4ee553cf37d5 · outbound

This paper cites Demystifying MMD GANs.

Learning Implicit Features with Flow Infused Attention for Realistic Virtual Try-On Demystifying MMD GANs

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T15:00:23.847600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82388b30-b03c-4427-90c4-a433aea41e27 · outbound

This paper cites Realtime multi-person 2d pose estimation using part affinity fields.

Learning Implicit Features with Flow Infused Attention for Realistic Virtual Try-On Realtime multi-person 2d pose estimation using part affinity fields

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:00:24.404778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0b18325f-e6a2-4353-96b5-0dbc12e1e7ed · outbound

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

Learning Implicit Features with Flow Infused Attention for Realistic Virtual Try-On Viton-hd: High-resolution virtual try-on via misalignment-aware normalization

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:00:24.391654Z

Source-reported events for the cited work

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Observation 2ddcda41-83d8-4ce4-a19f-ba3cb9f987f8 · outbound

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

Learning Implicit Features with Flow Infused Attention for Realistic Virtual Try-On Improving Diffusion Models for Authentic Virtual Try-on in the Wild

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T15:00:23.863468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36460f83-f178-49cb-a5ef-c1a14089bcfb · outbound

This paper cites Catvton: Concatenation is all you need for virtual try-on with diffusion models, 2024.

Learning Implicit Features with Flow Infused Attention for Realistic Virtual Try-On Catvton: Concatenation is all you need for virtual try-on with diffusion models, 2024

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:00:24.376635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 890a3eaa-527f-4758-bb1b-b278943416f3 · outbound

This paper cites Diffusion mod- els beat gans on image synthesis.

Learning Implicit Features with Flow Infused Attention for Realistic Virtual Try-On Diffusion mod- els beat gans on image synthesis

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:00:24.360274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7a639d0c-4550-47d2-9c7c-0a08bcd57ea4 · outbound

This paper cites Exploring Warping-Guided Features via Adaptive Latent Diffusion Model for Virtual try-on.

Learning Implicit Features with Flow Infused Attention for Realistic Virtual Try-On Exploring Warping-Guided Features via Adaptive Latent Diffusion Model for Virtual try-on

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:00:24.344143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ed8567b9-0f44-478b-bf95-7a232f961503 · outbound

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

Learning Implicit Features with Flow Infused Attention for Realistic Virtual Try-On Parser-free virtual try-on via distilling ap- pearance flows

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:00:24.327679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b14f219f-23fe-44cc-b231-8e319b038e6f · outbound

This paper cites Taming the power of diffusion models for high-quality virtual try-on with appearance flow.

Learning Implicit Features with Flow Infused Attention for Realistic Virtual Try-On Taming the power of diffusion models for high-quality virtual try-on with appearance flow

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:00:24.311123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 17071b55-c733-4106-93a5-f36b864f7467 · outbound

This paper cites Vec- tor quantized diffusion model for text-to-image synthesis.

Learning Implicit Features with Flow Infused Attention for Realistic Virtual Try-On Vec- tor quantized diffusion model for text-to-image synthesis

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:00:24.296303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 93b7e3b0-32e5-4e16-89de-cbfa1c5ce9f1 · outbound

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

Learning Implicit Features with Flow Infused Attention for Realistic Virtual Try-On Viton: An image-based virtual try-on network

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T15:00:23.898888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdcb96bd-2bea-4bc0-85ff-d045a00e0a03 · outbound

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

Learning Implicit Features with Flow Infused Attention for Realistic Virtual Try-On Clothflow: A flow-based model for clothed person generation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:00:24.275645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation daccf6e8-5de0-432e-987a-b71e737291f5 · outbound

This paper cites Style-based global appearance flow for virtual try-on.

Learning Implicit Features with Flow Infused Attention for Realistic Virtual Try-On Style-based global appearance flow for virtual try-on

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:00:24.263072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 85210b2a-321c-4f41-ac41-e34059cda34a · outbound

This paper cites Classifier-Free Diffusion Guidance.

Learning Implicit Features with Flow Infused Attention for Realistic Virtual Try-On Classifier-Free Diffusion Guidance

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T15:00:23.912338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea05494e-a82c-4ad8-9ab2-131eb1c8af59 · outbound

This paper cites Denoising dif- fusion probabilistic models.

Learning Implicit Features with Flow Infused Attention for Realistic Virtual Try-On Denoising dif- fusion probabilistic models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T15:00:23.916679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ca545f7-95b7-453d-a9c5-34b862a9d5ec · outbound

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

Learning Implicit Features with Flow Infused Attention for Realistic Virtual Try-On Stableviton: Learning semantic corre- spondence with latent diffusion model for virtual try-on

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:00:24.238702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b149dd92-3caa-4d8f-a575-32485de99965 · outbound

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

Learning Implicit Features with Flow Infused Attention for Realistic Virtual Try-On High-resolution virtual try-on with misalignment and occlusion-handled conditions

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:00:24.225697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ca893e42-0084-4252-ac7a-c13e155c6921 · outbound

This paper cites Toward accurate and realistic outfits visualization with atten- tion to details.

Learning Implicit Features with Flow Infused Attention for Realistic Virtual Try-On Toward accurate and realistic outfits visualization with atten- tion to details

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:00:24.213322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3613052f-0c16-4f27-82b2-1dd82461d839 · outbound

This paper cites Self- correction for human parsing.

Learning Implicit Features with Flow Infused Attention for Realistic Virtual Try-On Self- correction for human parsing

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T15:00:23.931810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75b06e59-6934-4b1f-8723-e22eb9198542 · outbound

This paper cites Decoupled Weight Decay Regularization.

Learning Implicit Features with Flow Infused Attention for Realistic Virtual Try-On Decoupled Weight Decay Regularization

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T15:00:23.935414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4075fe7-137c-43a8-9684-74b87cc3d448 · outbound

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

Learning Implicit Features with Flow Infused Attention for Realistic Virtual Try-On Dress code: High- resolution multi-category virtual try-on

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:00:24.189771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1115dd83-8e2f-4cf3-b885-707c57082d39 · outbound

This paper cites Ladi-vton: Latent diffusion textual-inversion enhanced virtual try-on.

Learning Implicit Features with Flow Infused Attention for Realistic Virtual Try-On Ladi-vton: Latent diffusion textual-inversion enhanced virtual try-on

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:00:24.174052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation adb9785b-b393-4bb5-bfb5-ab006af68b04 · outbound

This paper cites On aliased resizing and surprising subtleties in gan evaluation.

Learning Implicit Features with Flow Infused Attention for Realistic Virtual Try-On On aliased resizing and surprising subtleties in gan evaluation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:00:24.160789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a9e8bafd-332c-4683-9d51-70cdd3a1f646 · outbound

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

Learning Implicit Features with Flow Infused Attention for Realistic Virtual Try-On High-resolution image synthesis with latent diffusion models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T15:00:23.952186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 831950b0-4457-4434-b64e-2e0d2b990e75 · outbound

This paper cites Improving Virtual Try-On with Garment-focused Diffusion Models.

Learning Implicit Features with Flow Infused Attention for Realistic Virtual Try-On Improving Virtual Try-On with Garment-focused Diffusion Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T15:00:23.956259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffaef0a4-04b7-4e7e-83d4-22b3f9629286 · outbound

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

Learning Implicit Features with Flow Infused Attention for Realistic Virtual Try-On Toward characteristic- preserving image-based virtual try-on network

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:00:24.139855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3e4d20cc-6be2-4b87-810c-7a48117f0173 · outbound

This paper cites Gp- vton: Towards general purpose virtual try-on via collabora- tive local-flow global-parsing learning.

Learning Implicit Features with Flow Infused Attention for Realistic Virtual Try-On Gp- vton: Towards general purpose virtual try-on via collabora- tive local-flow global-parsing learning

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:00:24.126558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 83864dc6-1411-4ca7-82d5-230bb114c24e · outbound

This paper cites D$^4$-VTON: Dynamic Semantics Disentangling for Differential Diffusion based Virtual Try-On.

Learning Implicit Features with Flow Infused Attention for Realistic Virtual Try-On D$^4$-VTON: Dynamic Semantics Disentangling for Differential Diffusion based Virtual Try-On

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-08-11T15:00:24.022445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ef756fe9-53ad-442e-bb04-206ad3dc2376 · outbound

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

Learning Implicit Features with Flow Infused Attention for Realistic Virtual Try-On The unreasonable effectiveness of deep features as a perceptual metric

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T15:00:23.973201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 154986e1-37f8-48f5-96f5-d3cdf67f040e · outbound

This paper cites Tryondiffusion: A tale of two unets.

Learning Implicit Features with Flow Infused Attention for Realistic Virtual Try-On Tryondiffusion: A tale of two unets

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:00:24.103780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

Observation 057d5f86-c1a8-46e1-8c78-10533682f541 · inbound

MS-DETR: Towards Effective Video Moment Retrieval and Highlight Detection by Joint Motion-Semantic Learning cites this paper.

MS-DETR: Towards Effective Video Moment Retrieval and Highlight Detection by Joint Motion-Semantic Learning Learning Implicit Features with Flow Infused Attention for Realistic Virtual Try-On

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:01:57.336574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.