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Paper Citation Record · LEDGER

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps

As of 17 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2512.17143.

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

pith.paper-citation-record.v1
2512.17143 v3

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T15:26:14.252873Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

57 of 57 outbound references displayed

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  • verified fuzzy0
  • unresolved57
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6cf8588e-3559-4952-ba02-29cfdc9782c3 · outbound

This paper cites an unresolved cited work.

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps Unresolved cited work

Reference 1

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Observation 937f5351-c593-4528-ab47-2c98c64a47f6 · outbound

This paper cites Chan, Connor Z.

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps Chan, Connor Z

Reference 2

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source=pdf_text observed=2026-08-03T15:26:08.643724Z digest=sha256:b7f60fbc737a5e656833c9f4e54806ff560bdf0ccf3ac814f1da17e7c7b35e05

Observation 933199c0-428a-4a38-8a5f-02f5b1e96057 · outbound

This paper cites an unresolved cited work.

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps Unresolved cited work

Reference 3

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source=pdf_text observed=2026-08-03T15:26:08.704751Z digest=sha256:78c29e4259ecdee1bb554ac6ebb38ddab3ebc62bed912753b2e37febf1c8956b

Observation 703796df-ac51-4f13-9bf2-d53e3b322516 · outbound

This paper cites Arcface: Additive angular mar- gin loss for deep face recognition.IEEE Transactions on Pat- tern Analysis and Machine Intelligence, 44(10):5962–5979,.

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps Arcface: Additive angular mar- gin loss for deep face recognition.IEEE Transactions on Pat- tern Analysis and Machine Intelligence, 44(10):5962–5979,

Reference 4

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Observation e512c0fe-a44b-465f-bf35-9e970df8d30e · outbound

This paper cites A varia- tional u-net for conditional appearance and shape generation.

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps A varia- tional u-net for conditional appearance and shape generation

Reference 5

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source=pdf_text observed=2026-08-03T15:26:08.874368Z digest=sha256:923caa27b257c0542aef43bb44391f7c18bcd1fb946de58dc97b2066931942db

Observation 661e7453-ceab-484c-8197-9df2db9047cf · outbound

This paper cites One-shot learning for pose-guided person image synthesis in the wild.

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps One-shot learning for pose-guided person image synthesis in the wild

Reference 6

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source=pdf_text observed=2026-08-03T15:26:08.950014Z digest=sha256:0cc7433b3ae3bf4a526cca1717c0af599b7797f600faf96867234e79311832e8

Observation 862f3205-e7ab-4dbf-8210-759a7f9eae51 · outbound

This paper cites Introducing gemini 2.5 flash image, our state-of-the-art image model.

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps Introducing gemini 2.5 flash image, our state-of-the-art image model

Reference 7

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source=pdf_text observed=2026-08-03T15:26:09.024482Z digest=sha256:8e4bda13fc4bc734a5a4c55575774d32caadc360bc85f826f64eda5fc1ab8520

Observation ca00b932-3e1b-4fd0-81b7-237537f4c09f · outbound

This paper cites Contex-human: Free- view rendering of human from a single image with texture- consistent synthesis.

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps Contex-human: Free- view rendering of human from a single image with texture- consistent synthesis

Reference 8

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source=pdf_text observed=2026-08-03T15:26:09.115262Z digest=sha256:6081c49b35b9d4b58736e8299c198a7e064234bc4dfb196689566b61ddf461df

Observation 84c6b83d-9634-444d-ab87-0d63b47161ff · outbound

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

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps Viton: An image-based virtual try-on network

Reference 9

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source=pdf_text observed=2026-08-03T15:26:09.189152Z digest=sha256:d346314adad84d70434aa3e20f7b2a459d23dfb0d22a8d3d0384a1590ef1244b

Observation e301c67e-1976-4930-bae5-b212268dc11c · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.Advances in neural information processing systems, 30, 2017.

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps Gans trained by a two time-scale update rule converge to a local nash equilib- rium.Advances in neural information processing systems, 30, 2017

Reference 10

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source=pdf_text observed=2026-08-03T15:26:09.247299Z digest=sha256:a927dc9f69e904ac204fe40bc5319a6edec5ce093a7c5d7e851f868576628511

Observation 08a23bb0-5c32-4f04-bf5a-00b085bedbdf · outbound

This paper cites Animate anyone: Consistent and controllable image-to-video synthesis for character animation.

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps Animate anyone: Consistent and controllable image-to-video synthesis for character animation

Reference 11

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source=pdf_text observed=2026-08-03T15:26:09.313813Z digest=sha256:95d0ca5274c0ca37039d8c3a9c51e87d854f1dcd6ac387fcf09071ffa147be28

Observation 74bd42a5-b98e-4876-aab2-9f631b1a51f9 · outbound

This paper cites ARCH: Animatable Reconstruction of Clothed Humans.

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps ARCH: Animatable Reconstruction of Clothed Humans

Reference 12

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source=pdf_text observed=2026-08-03T15:26:09.444662Z digest=sha256:b139a16f2db28825209af27df75eb84f79a7e7fd92ed241f1307c6808ecfe561

Observation 15e41195-75ec-44b1-bc9e-d39888a7f84e · outbound

This paper cites Jafarian and H.

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps Jafarian and H

Reference 13

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source=pdf_text observed=2026-08-03T15:26:09.606932Z digest=sha256:92c91135b1889d8c8a86f8bfe545f2499a0e3f488af66752dfc2cf25f6eaa528

Observation 378e046b-76a8-4df3-bef3-01255ed9b5fe · outbound

This paper cites Learning high fi- delity depths of dressed humans by watching social media dance videos.

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps Learning high fi- delity depths of dressed humans by watching social media dance videos

Reference 14

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source=pdf_text observed=2026-08-03T15:26:09.734862Z digest=sha256:438e5727d2fcc047feccef48d77c5cf0cdc22bfe0224e82d58922977e01e2349

Observation c5cb56d6-8662-4b96-ad9c-8634dd84de9e · outbound

This paper cites Progressive Growing of GANs for Improved Quality, Stability, and Variation.

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps Progressive Growing of GANs for Improved Quality, Stability, and Variation

Reference 15

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source=pdf_text observed=2026-08-03T15:26:09.923850Z digest=sha256:642ea0fecbdf7044bd546990321b1753c0b53b840e3839cb84416d9f8c6ecbb7

Observation a27c7fda-0512-4006-9fba-a97dbcc84b72 · outbound

This paper cites A style-based generator architecture for generative adversarial networks.

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps A style-based generator architecture for generative adversarial networks

Reference 16

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source=pdf_text observed=2026-08-03T15:26:10.094942Z digest=sha256:ed93e13341acc10c25779f4b8e2e34828bd117fc576f1b20cc83e5bf50bbd9e8

Observation 17f05f91-7987-4edb-bafd-a3c34de7e3ff · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.ACM Transactions on Graphics,.

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps 3d gaussian splatting for real-time radiance field rendering.ACM Transactions on Graphics,

Reference 17

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source=pdf_text observed=2026-08-03T15:26:10.216741Z digest=sha256:01c1c0eae316e684906ae36c74eea5c7ccdb0c16800f9973d4f0865be4dafcae

Observation ed143387-6e3c-43a8-8eca-8b172da63f34 · outbound

This paper cites Flux.https://github.com/ black-forest-labs/flux, 2024.

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps Flux.https://github.com/ black-forest-labs/flux, 2024

Reference 18

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source=pdf_text observed=2026-08-03T15:26:10.381675Z digest=sha256:6eff8cb8ee64ab9510db57f07a39a03b5caf1849b3dc9abbe092935fcbbeea49

Observation cd1ef91f-95f4-4286-b381-f0a6a9010dc2 · outbound

This paper cites High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled Conditions.

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled Conditions

Reference 19

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source=pdf_text observed=2026-08-03T15:26:10.541606Z digest=sha256:7a8b7fed8aa7691c70ba8468240621d991f81c8a19833d46df3faca4a8691d26

Observation 27823f95-bd63-4ea6-bbf5-f14f112df679 · outbound

This paper cites Plummer, and Zhe Lin.

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps Plummer, and Zhe Lin

Reference 20

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source=pdf_text observed=2026-08-03T15:26:10.674173Z digest=sha256:eb00d49213ddf1d3aef4e39cb9b1aaa115707062aeb71659bb12c34b5a815225

Observation 4dc2ad12-abf0-4bdd-8768-28c747102ac6 · outbound

This paper cites Dense in- trinsic appearance flow for human pose transfer.

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps Dense in- trinsic appearance flow for human pose transfer

Reference 21

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Observation 4ccb9176-22fc-4dc1-bcd7-aebe900e6e1d · outbound

This paper cites Microsoft coco: Common objects in context.

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps Microsoft coco: Common objects in context

Reference 22

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Observation 16dd3ee5-0fe0-45be-9e84-35b07fc5525e · outbound

This paper cites an unresolved cited work.

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps Unresolved cited work

Reference 23

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source=pdf_text observed=2026-08-03T15:26:11.056997Z digest=sha256:1c6a78e6365d7eebac696541c9b099cae550b979aaf4948fe04ec306b1660992

Observation 5f127706-4093-48fc-97c5-d22e0b406ee7 · outbound

This paper cites Multi- focal conditioned latent diffusion for person image synthesis.

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps Multi- focal conditioned latent diffusion for person image synthesis

Reference 24

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source=pdf_text observed=2026-08-03T15:26:11.181936Z digest=sha256:897c10b43599352b374a7fa841d500c6b7e12e21646a500dad5f0e4e9be50d17

Observation a8815822-af2a-4454-9e24-0ea989467329 · outbound

This paper cites Deepfashion: Powering robust clothes recognition and retrieval with rich annotations.

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps Deepfashion: Powering robust clothes recognition and retrieval with rich annotations

Reference 25

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source=pdf_text observed=2026-08-03T15:26:11.305106Z digest=sha256:1db132119f4ccb9b2475041d0504c8b9bdbe25689ffb192aa6c8508c6869e1cd

Observation e4c16734-f548-4745-9697-f978d9647c7d · outbound

This paper cites Coarse-to-fine latent diffusion for pose- guided person image synthesis.

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps Coarse-to-fine latent diffusion for pose- guided person image synthesis

Reference 26

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source=pdf_text observed=2026-08-03T15:26:11.398181Z digest=sha256:43b5d536bbae4f0eb0d3d55e916ee9f079e1a39e0f990eae2e7b39a157178373

Observation 0f679e61-f2d9-4534-89be-024ae2f683ac · outbound

This paper cites Mediapipe: A framework for perceiving and processing reality.

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps Mediapipe: A framework for perceiving and processing reality

Reference 27

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Observation c77a40d9-b812-403e-971f-4d0b99c1bc1d · outbound

This paper cites Repaint: Inpainting using denoising diffusion probabilistic models.

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps Repaint: Inpainting using denoising diffusion probabilistic models

Reference 28

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Observation 500886c0-e355-4b0d-8b0f-ceb00d7cc563 · outbound

This paper cites Pose guided person image genera- tion.

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps Pose guided person image genera- tion

Reference 29

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Observation 271c1c8e-113a-4f5c-984a-b1198457d2dc · outbound

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

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps Hpsv3: Towards wide-spectrum human preference score

Reference 30

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source=pdf_text observed=2026-08-03T15:26:11.727871Z digest=sha256:1a584a037fbfe4ad52fe089e994ee70d1b5333876c8e000830d7505fa194061a

Observation 97bf33e8-5a37-4cd7-a221-d637d5940669 · outbound

This paper cites Controllable person image synthesis with attribute-decomposed gan.

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps Controllable person image synthesis with attribute-decomposed gan

Reference 31

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source=pdf_text observed=2026-08-03T15:26:11.792953Z digest=sha256:ae7ce91fbcd2ba03b10ff98640b89e9d061c0a7dced7c2a676a4c3d9ddc02843

Observation 16ef8134-226d-4584-b033-b37e206e51e4 · outbound

This paper cites Human Gaussian Splatting: Real-time Rendering of Animatable Avatars.

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps Human Gaussian Splatting: Real-time Rendering of Animatable Avatars

Reference 32

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source=pdf_text observed=2026-08-03T15:26:11.919035Z digest=sha256:bb3ad4c80bdded4dcc612a2133d2d525092f97259776f87d96580bfd79adc088

Observation 9b282387-725e-4656-ae85-c1cdbe13d269 · outbound

This paper cites Human gaussian splatting: Real-time rendering of animatable avatars.

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps Human gaussian splatting: Real-time rendering of animatable avatars

Reference 33

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Observation 047c65b5-f961-4091-b801-03106977a7a8 · outbound

This paper cites Dress Code: High- Resolution Multi-Category Virtual Try-On.

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps Dress Code: High- Resolution Multi-Category Virtual Try-On

Reference 34

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source=pdf_text observed=2026-08-03T15:26:12.078633Z digest=sha256:32b860102d1ac9d324f0cd80fddc5676ae35beea5176891bcb13d03db18a67c2

Observation 00b330e7-f382-4294-8dd5-65e090bf706c · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps DINOv2: Learning Robust Visual Features without Supervision

Reference 35

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Observation a335ef78-260a-4920-ba1b-6bbd5044fa8c · outbound

This paper cites an unresolved cited work.

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps Unresolved cited work

Reference 36

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source=pdf_text observed=2026-08-03T15:26:12.217763Z digest=sha256:48659884cd63ac9796d4a7086638b35632fd08bab4fbe1c7a964fda30841a75a

Observation 8f83a02f-7538-4efd-ba90-2a50ccfaec10 · outbound

This paper cites Li, and Ge Li.

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps Li, and Ge Li

Reference 37

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source=pdf_text observed=2026-08-03T15:26:12.302419Z digest=sha256:2e7bfbbaa8fff3c3605eba617f3f3584b92faf8696b4e956d2083835f733d08d

Observation 523691f5-ceb2-438c-87ff-e446dedcef45 · outbound

This paper cites Pifu: Pixel-aligned implicit function for high-resolution clothed human digitiza- tion.

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps Pifu: Pixel-aligned implicit function for high-resolution clothed human digitiza- tion

Reference 38

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no resolver link, observed 2026-08-03T15:26:12.454119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:26:12.454119Z digest=sha256:e09b3b56bd128a423419304d7a76880c25483d1aa7cd323eccf6788bb9a24736

Observation ffe27ce6-fa10-4af3-bfee-f237621fed0b · outbound

This paper cites Pifuhd: Multi-level pixel-aligned implicit function for high-resolution 3d human digitization.

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps Pifuhd: Multi-level pixel-aligned implicit function for high-resolution 3d human digitization

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-03T15:26:12.599708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:26:12.599708Z digest=sha256:d42aab587072d3d739296eb93de0a6637c7f5663dde9fa73e7f36d5b10b2939e

Observation a21dddf5-8cb0-4b10-92ee-9ac393b6f002 · outbound

This paper cites Mohler, Larry S.

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps Mohler, Larry S

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-03T15:26:12.753405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:26:12.753405Z digest=sha256:cced776ea44b5ecaf1205ce67a80ddc4d03d7443669efb963be1c5986ae2ee92

Observation 9db6acd8-f910-4179-9c6f-09a1e9c897cc · outbound

This paper cites Deformable gans for pose-based human im- age generation.

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps Deformable gans for pose-based human im- age generation

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-03T15:26:12.874288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:26:12.874288Z digest=sha256:6d1a7723ebf590c4d6876c173e60f2d29467bc54b734fc6448c1e3b4a34b6d83

Observation a79eef0c-3b67-4fbe-9d49-65d9b9f21b5a · outbound

This paper cites First order motion model for image animation.IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019.

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps First order motion model for image animation.IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-03T15:26:12.987462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:26:12.987462Z digest=sha256:7c0b135b0d8fd0476eedc4db774e02852fa58b4a12e0eb2b13256cc64d37b328

Observation 3adb49c7-0ec6-4b21-aa13-2ec9e8f1232c · outbound

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

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps Toward characteristic- preserving image-based virtual try-on network

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-03T15:26:13.109833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:26:13.109833Z digest=sha256:ab0f46339ae344a8062aad67c9ff9ebedb7fc8c174e35b1db00b018dc8c2f915

Observation 60d2bdf8-abe6-4255-992a-7f4f629bc87b · outbound

This paper cites Disco: Disentangled control for referring human dance generation in real world.

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps Disco: Disentangled control for referring human dance generation in real world

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-03T15:26:13.166189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:26:13.166189Z digest=sha256:d6321a1442ce875eb919b71001398cb9a5a1758e2ec150df3da0083ac7ce5a7c

Observation 1f8c3aa9-cd2b-4fcf-988f-2b280c2d6177 · outbound

This paper cites Bovik, H.R.

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps Bovik, H.R

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-03T15:26:13.225458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:26:13.225458Z digest=sha256:b4323443797d8ac3f6e0ad1c31289c3a25839d0aaa8426fbf1d85e835dbc9012

Observation ddfe6bbb-678f-4ee8-a102-1fba93943ba1 · outbound

This paper cites an unresolved cited work.

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps Unresolved cited work

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-03T15:26:13.380954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:26:13.380954Z digest=sha256:54e3cac23cf8764472dff96c2a7075dfe08dc665cc1082a1f420029e9f5f969e

Observation f77cd8e6-5738-4f82-8bd0-9da8f574ec2c · outbound

This paper cites Oot- diffusion: Outfitting fusion based latent diffusion for control- lable virtual try-on.AAAI, 2025.

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps Oot- diffusion: Outfitting fusion based latent diffusion for control- lable virtual try-on.AAAI, 2025

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-03T15:26:13.453305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:26:13.453305Z digest=sha256:00820709d83b90a653fa372af73c519381fdd272d7d5a73d962fda8a4df9b5f6

Observation 96acfe5a-049e-497a-b014-d21b8f045778 · outbound

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

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps Towards photo-realistic virtual try-on by adaptively generating-preserving image content

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-03T15:26:13.550736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:26:13.550736Z digest=sha256:fbb810bcf6d56df46b65124241dfa6920ab644b4b7fc510a080965249caf197b

Observation 2a89614f-4a0d-47fe-b331-7d85a3c84ad1 · outbound

This paper cites 3dhu- mangan: 3d-aware human image generation with 3d pose mapping.

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps 3dhu- mangan: 3d-aware human image generation with 3d pose mapping

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-03T15:26:13.596044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:26:13.596044Z digest=sha256:c1409962d2415e372dfed1c4644ce20505a0eed2b778133fea998ce929a3be26

Observation 0cffd23e-1b99-463c-9c10-aad3e6c87ee5 · outbound

This paper cites PISE: Person image synthesis and editing with decoupled gan.

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps PISE: Person image synthesis and editing with decoupled gan

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-03T15:26:13.699178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:26:13.699178Z digest=sha256:3037b8b3cef63624cba6d832bcc860c843f3248bea027cd2cc248bec6756fa60

Observation df152f04-44dc-4eb4-99a6-dd2fc269b7fa · outbound

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

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps The unreasonable effectiveness of deep features as a perceptual metric

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-03T15:26:13.781307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:26:13.781307Z digest=sha256:5194281be267f9ba4a3f6fa3baad30c243e80c273798601cb729f9b5751c4d86

Observation af023876-f1ee-422e-862f-477e9e4a28d1 · outbound

This paper cites Humannerf: Ef- ficiently generated human radiance field from sparse inputs.

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps Humannerf: Ef- ficiently generated human radiance field from sparse inputs

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-03T15:26:13.846938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:26:13.846938Z digest=sha256:f81559dd3025bfd28af96979a9021e6b1fa4634e52780b79f14397cc529c072a

Observation 8263843b-d1d5-4342-a90b-50fd5ca8df45 · outbound

This paper cites Learning flow fields in attention for controllable person image generation.

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps Learning flow fields in attention for controllable person image generation

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-03T15:26:13.916934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:26:13.916934Z digest=sha256:4e61b4a65193ec598494edd9de4a58d34c53b5efc6ca75d10259e99ae827468d

Observation 364acbf0-5f0e-4311-abc9-7133ce24b7d5 · outbound

This paper cites CelebV- HQ: A large-scale video facial attributes dataset.

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps CelebV- HQ: A large-scale video facial attributes dataset

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-03T15:26:14.002048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:26:14.002048Z digest=sha256:9aeeb45ea1a0bb571e2d9b5fba23f7d4e3877a3fbac18a7f9e944714eb842803

Observation fc273007-7ada-431e-8435-e2a7f382a142 · outbound

This paper cites Tryondiffusion: A tale of two un- ets.

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps Tryondiffusion: A tale of two un- ets

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-03T15:26:14.086276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:26:14.086276Z digest=sha256:c7ec091722cdfca29dcae72c1413c4ec1e8edfbca273e998f40cd4059f93d2a8

Observation ec786b65-1792-415b-ba70-13d935cd82df · outbound

This paper cites M&m vto: Multi- garment virtual try-on and editing.

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps M&m vto: Multi- garment virtual try-on and editing

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-03T15:26:14.164224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:26:14.164224Z digest=sha256:524bedfed2278556bdb89f05021dfcc6ec5c022c1c8759005de1aa10d9842f0e

Observation a3a79e12-e3dd-4cfc-96b5-d3f627f642a8 · outbound

This paper cites Progressive pose attention transfer for person image generation.

Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps Progressive pose attention transfer for person image generation

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-03T15:26:14.252873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:26:14.252873Z digest=sha256:da2c4beaa2235a88c13124b083f724ae415c1bf3180b1d2165a19524488364f4

Pith citing papers

No inbound Pith citation observations are available.