Pith. sign in

Paper Citation Record · LEDGER

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images

As of 6 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 1 inbound Pith citation observation for arXiv:2603.02210.

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

pith.paper-citation-record.v1
2603.02210 v3

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-15T17:26:02.023978Z

measured 62 of 62 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T15:09:02.727887Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-11T11:06:05.844744Z

Reference resolution

61 of 61 outbound references displayed

  • verified exact28
  • verified fuzzy32
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6e30daf4-2a02-4488-b9af-c9d6341b9e9c · outbound

This paper cites Blended latent diffusion.ACM transactions on graphics (TOG), 42(4):1–11.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images Blended latent diffusion.ACM transactions on graphics (TOG), 42(4):1–11

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T17:26:22.528036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:d07b12d139f7edb3f1583dc79db4f2ea1e4f03193efcd152b7858b545c16a3bd

Observation 4a504a7c-6c60-4bf4-9394-9bf8ba5fcb90 · outbound

This paper cites Integrating View Conditions for Image Synthesis.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images Integrating View Conditions for Image Synthesis

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-15T17:26:21.928416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:cc11209db6bd66c58c25a20441df58d46cb32b6b8f7e2f367c772354cab4b6f9

Observation 1a025703-6ba1-4578-87bd-be16a5a7384f · outbound

This paper cites HumanEdit: A High-Quality Human-Rewarded Dataset for Instruction-based Image Editing.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images HumanEdit: A High-Quality Human-Rewarded Dataset for Instruction-based Image Editing

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-15T17:26:21.967791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:1c54a19ffcf8440dbe9b3dc9bb45eb33cf125b7eac5fd4cc0dc3a906a32030b7

Observation 22316b36-ede7-447e-a1e1-0547ce6da3bd · outbound

This paper cites Meissonic: Revitalizing masked generative transformers for efficient high-resolution text-to-image synthesis.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images Meissonic: Revitalizing masked generative transformers for efficient high-resolution text-to-image synthesis

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T17:26:22.524631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:c7d1f5ba7e0b51f2dfa1078c8aa418ac71ed5b50f448d26c82710d4437383c90

Observation 4b318c30-eec6-4c82-8b46-ec44d1cd1b75 · outbound

This paper cites Image inpainting.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images Image inpainting

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T17:26:22.540448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:20884eacf39a48c456687b577b98469d182f52415d100a025d551ead2ff9de45

Observation 36840146-f887-40c6-9d5d-4a18b0bbad4e · outbound

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

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images Flux.https://github.com/black-forest-labs/flux

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T17:26:22.521626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:63039fde49ad74093d09ba725b1685e2f279362bd280555b4a6fa8272c356679

Observation 368a7a03-be2c-490b-ad57-f735c8b4f049 · outbound

This paper cites an unresolved cited work.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-05-15T17:26:22.547129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:18f4133812cafedc9e37fa7e366d0cfd46d1224cb564e4346f93931496e0d950

Observation 8732adc3-bcdd-49c1-8954-029199c8fb83 · outbound

This paper cites Diffusion self-distillation for zero-shot customized image generation.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images Diffusion self-distillation for zero-shot customized image generation

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T17:26:22.544095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:14d934273fae5bb3023ad3419a0ea67c4590be513772c2072082631ead584d9a

Observation 3317dc1e-38d3-4e21-87ba-b345aae8c683 · outbound

This paper cites Relactrl: Relevance-guided efficient control for diffusion transformers.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images Relactrl: Relevance-guided efficient control for diffusion transformers

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-15T17:26:21.993752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:13fd6f8c6db2777f0cf9f0f6f672f6868281177b9e198667058f5fad118d0aba

Observation 75b085e1-4f6a-4afd-83e2-36fcb6bc4708 · outbound

This paper cites arXiv preprint arXiv:2403.04279 , year=.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images arXiv preprint arXiv:2403.04279 , year=

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-15T17:26:21.960172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:8f2aa192ee4e1c50adeabd611cbd8bd11823c971fb2d196f5857d2b0112cf428

Observation e7443dbe-cbdc-49db-b0ff-9a9c316ec1ac · outbound

This paper cites Emerging properties in self-supervised vision transformers.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images Emerging properties in self-supervised vision transformers

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T17:26:22.558003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:b5915922e51193a40c0c8ba1a9690a361c8bd90efbaacf12b963fb6aa7c7559a

Observation 632f58af-6a82-4904-98ac-23309dbaabd0 · outbound

This paper cites An Empirical Study of GPT-4o Image Generation Capabilities.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images An Empirical Study of GPT-4o Image Generation Capabilities

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-15T17:26:22.000134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:4e3d63e400e4630cde0964f02c710f48769f7c2dbbeb28fd7ecf60d7ab8990a7

Observation 7da17915-00db-49ef-89ee-0fa712521ca3 · outbound

This paper cites PosterCraft: Rethinking High-Quality Aesthetic Poster Generation in a Unified Framework.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images PosterCraft: Rethinking High-Quality Aesthetic Poster Generation in a Unified Framework

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-15T17:26:21.981482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:d153e390b3dce0602c2fec26ea972ce87fcdde26ba7612d8e0150247dedff0a5

Observation d809e3fc-a0af-4ae1-b36d-4d0f684ab962 · outbound

This paper cites Posteromni: Generalized artistic poster creation via task distillation and unified reward feedback.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images Posteromni: Generalized artistic poster creation via task distillation and unified reward feedback

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-15T17:26:21.988017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:310f2030e5e9996d018ed461129759ae142c4d4b89aceb3af7c70ca9f99da429

Observation 33c9aa53-d555-42cf-a4d1-e6565fdd5d3a · outbound

This paper cites Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T17:26:22.550795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:7186a7128ab1a8f9e68521f8e7549e563f74949ce5ba1b30913273bb712ec415

Observation 25b30816-494e-47a5-8ec9-acc090a8beb0 · outbound

This paper cites Region filling and object removal by exemplar-based image inpainting.IEEE Transactions on image processing, 13(9):1200–1212.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images Region filling and object removal by exemplar-based image inpainting.IEEE Transactions on image processing, 13(9):1200–1212

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T17:26:22.534481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:cc09973e408641652ab063d5c5ddcbcecd9a0bce039af2775d2a92a73b0aeefe

Observation 12aac76a-d49b-44c1-9729-9ff9f437739c · outbound

This paper cites Generalized and separable sobel operators.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images Generalized and separable sobel operators

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T17:26:22.553847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:ff21dc09c6626b460805b13b5ef4b47beeea32aed9bb2012553391e426a254a6

Observation 69913206-272b-4d87-b911-1956fc763c9a · outbound

This paper cites PlanGen: Towards Unified Layout Planning and Image Generation in Auto-Regressive Vision Language Models.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images PlanGen: Towards Unified Layout Planning and Image Generation in Auto-Regressive Vision Language Models

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-15T17:26:21.974134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:2ad69f4b67692ef696aba8501cab65cf54dc968b49f43fe7f60ca3c74f0dccaa

Observation ecab80d7-a7a9-45a3-8aa3-a51a758e984e · outbound

This paper cites Re-align: Structured reasoning-guided alignment for in-context image generation and editing.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images Re-align: Structured reasoning-guided alignment for in-context image generation and editing

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-15T17:26:21.934389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:b69523f31136127fd65bc53b200a7b3595fade9fe51ec6a4b4e9370660962bbf

Observation 05a75b9e-20c9-4aa4-8fa5-81c3aaee1b73 · outbound

This paper cites Dual-schedule inversion: Training-and tuning-free inversion for real image editing.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images Dual-schedule inversion: Training-and tuning-free inversion for real image editing

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T17:26:22.531376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:e76df78c87af51b0f4a849f73c1fd91d3217e7c08b9d634cdf9e104527a742b0

Observation a03c1459-7616-4a57-966e-f9226efb0f12 · outbound

This paper cites Diffusion model-based image editing: A survey.IEEE Transactions on Pattern Analysis and Machine Intelligence.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images Diffusion model-based image editing: A survey.IEEE Transactions on Pattern Analysis and Machine Intelligence

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T17:26:22.537479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:5e6abf180ef4f5412bb788ae67b89b8a03fc27792df09792dfafd2a5ec9e27fd

Observation d73d3450-d843-4b73-90b7-5ac0830f55eb · outbound

This paper cites Springer.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images Springer

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T17:26:22.516159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:26e5f8bb73453c50fa08d6cda0586a3ad31941099418f80fafbdff91c1663ef7

Observation 4c021488-7a56-4021-a8d6-36b089b2bd03 · outbound

This paper cites Laion-aesthetics-predictor v1.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images Laion-aesthetics-predictor v1

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T17:26:22.513664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:cf1bbe06fa3260919a29c0d6c3439cd5329c3f60a97e9420c82795447d5f1f14

Observation 922be638-58d8-4f75-ad77-cd9d57b0d3e3 · outbound

This paper cites Ic-custom: Diverse image customization via in-context learning.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images Ic-custom: Diverse image customization via in-context learning

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-15T17:26:22.013046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:0e29fd2c490555f896eda4e925ce8d1b53286fbce346ad3be3d316e043b7e5c1

Observation fca9b4fa-400a-464d-b01e-e7d9ef1847b8 · outbound

This paper cites Pair-id: A dual modal framework for identity preserving image generation.IEEE Signal Processing Letters.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images Pair-id: A dual modal framework for identity preserving image generation.IEEE Signal Processing Letters

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T17:26:22.562303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:fd5a48d0478981b339c6419f9b2975ce5ded2cf7f34b3c6052f6479813603d99

Observation 26a475db-04f2-484b-bd4a-663c04c208eb · outbound

This paper cites Difftv: Identity-preserved thermal-to-visible face translation via feature alignment and dual-stage conditions.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images Difftv: Identity-preserved thermal-to-visible face translation via feature alignment and dual-stage conditions

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T17:26:22.518753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:c50e159c04e20f7732a92a98735eac58339c81dbded8e838c22025df252614b5

Observation 064a4138-41f1-4fd4-81f8-78b930411063 · outbound

This paper cites JarvisArt: Liberating Human Artistic Creativity via an Intelligent Photo Retouching Agent.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images JarvisArt: Liberating Human Artistic Creativity via an Intelligent Photo Retouching Agent

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-15T17:26:21.947745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:2ada13f5a9558bbd21e3001cdd0259452677f1ed4e98f873b6ad1b29cdcd97ac

Observation 6aa5325f-cdbd-4009-ac18-9a041800e6b0 · outbound

This paper cites JarvisEvo: Towards a self-evolving photo editing agent with synergistic editor-evaluator optimization.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images JarvisEvo: Towards a self-evolving photo editing agent with synergistic editor-evaluator optimization

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-15T17:26:21.941109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:fb2b58fe33b0b069ea3c2581102e4207060a4580a511bbce99f10a4e0ea68e0f

Observation edd72e6c-9600-4234-bae0-a5eb28c79c4f · outbound

This paper cites Mofu: Scale-aware modulation and fourier fusion for multi-subject video generation.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images Mofu: Scale-aware modulation and fourier fusion for multi-subject video generation

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-15T17:26:22.006336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:7492e2f29a8ea522f5f26be51b331050010d2502f102033c32b78811021ba375

Observation 00ad316b-ba54-4a54-9722-2aa7faf9c354 · outbound

This paper cites Flow Matching for Generative Modeling.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images Flow Matching for Generative Modeling

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-05-15T17:26:21.953391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:b7ceebdbdbb02d4e399595fd06c2be2993095318c3f59501dcaaaab9e8672aa4

Observation 418bdbf8-b5da-4b1d-ba53-36765a995f51 · outbound

This paper cites Lay2story: extending diffusion transformers for layout-togglable story generation.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images Lay2story: extending diffusion transformers for layout-togglable story generation

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T17:26:22.450955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:bbdd327ffd897be6ded8082addb10f9fc166676ff46fdc1733591965046710f5

Observation 581cc53d-d558-4fba-853a-02362a7868c2 · outbound

This paper cites Hd-painter: high-resolution and prompt-faithful text-guided image inpainting with diffusion models.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images Hd-painter: high-resolution and prompt-faithful text-guided image inpainting with diffusion models

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T17:26:22.498412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:9d99d8b8863d5bfbe98be8b93395a7f6e07a957a9bc70ab2448c447d3d8e752d

Observation f93111d4-e8cc-4fdc-aad1-61c7ca658229 · outbound

This paper cites ACE++: Instruction-Based Image Creation and Editing via Context-Aware Content Filling.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images ACE++: Instruction-Based Image Creation and Editing via Context-Aware Content Filling

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-15T17:26:22.018716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:c4b4c4507c2fb9e2156b29a60db2132786dad9a3cc06144c4907c86a796704df

Observation 93613e5f-3b05-4924-8547-dcf077414a1c · outbound

This paper cites Scalable diffusion models with transformers.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images Scalable diffusion models with transformers

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T17:26:22.477103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:6f5e333b53938c2f3a3224e5f3669f10237c71979fc818748c74f245811f3999

Observation 082a2eb0-ba44-48a5-884c-e6d51321b6f3 · outbound

This paper cites Mirrorgan: Learning text-to-image generation by redescription.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images Mirrorgan: Learning text-to-image generation by redescription

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T17:26:22.501849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:7c940a1bcc862be802716cd1558201cad9e775b65b1141632f4463bad51b4a6a

Observation cbd449bf-db7f-49e7-9286-e30857987929 · outbound

This paper cites Learning transferable visual models from natural language supervision.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images Learning transferable visual models from natural language supervision

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T17:26:22.485868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:b8237da2286d376fd56b6f9c743329a0bfd0fe6e214b2d2944e78a7d204d969f

Observation 4f79e3f7-3c1c-4191-8081-23c92d0bb77c · outbound

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

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images Zero-shot text-to-image generation

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T17:26:22.508146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:92d445c40b05bc1c4d2ac9025436ebae30cf2c9122de44f485d98f09a8ac047a

Observation 3b64ac64-693b-4e3e-8c90-824a8f46b711 · outbound

This paper cites Generative adversarial text to image synthesis.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images Generative adversarial text to image synthesis

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T17:26:22.467708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:941593f88b64246db50443a5aba50ef5f691ff6de3238b633a9b6a49436e7ee8

Observation e510ea65-44c3-4e83-830c-22cfec8de93a · outbound

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

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images High-resolution image synthesis with latent diffusion models

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T17:26:22.511042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:5dd9bbd58a1d03fb893159602bd30e444c0b9f335fb903eec2dbb2902a7c06dc

Observation 731d245c-5691-4b82-a07f-f09a3ad78e4c · outbound

This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T17:26:22.462583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:77a4570debdff46fd2b64612a55a6202761216c0cfba9d7d22cd7bb605c01fad

Observation dd65fdc1-9331-4792-86d0-da77071a101b · outbound

This paper cites Palette: Image-to-image diffusion models.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images Palette: Image-to-image diffusion models

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T17:26:22.490310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:7537b7a21323819f48ffb838a5b3259103a69758d468b678680695c35337e358

Observation 879e9c32-25ad-4c56-93be-dc90f3294130 · outbound

This paper cites SG-Adapter: Enhancing Text-to-Image Generation with Scene Graph Guidance.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images SG-Adapter: Enhancing Text-to-Image Generation with Scene Graph Guidance

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-15T17:26:22.088718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:db8058dde44d64fca8ff04d5f8f140cfabc318f0530e77af6786304c5b400b53

Observation 64ce3a16-3277-4de4-9466-9c224faad4df · outbound

This paper cites Scenedecorator: Towards scene-oriented story generation with scene planning and scene consistency.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images Scenedecorator: Towards scene-oriented story generation with scene planning and scene consistency

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-15T17:26:22.058435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:f8c95eb3e6690bd07607e4d5b7df9d26f68ee03f36c2296d806af88ce1afef54

Observation d43eb759-29f4-42a3-a04d-68fd46c1932a · outbound

This paper cites Insert Anything: Image Insertion via In-Context Editing in DiT.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images Insert Anything: Image Insertion via In-Context Editing in DiT

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-15T17:26:22.064456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:a1f7c94dc99a892bd5324fef5c69a16fdcc548498273f52d68b7683aaf68568b

Observation 7506ea43-fbe1-46b2-85e7-4e1fbfc68f9e · outbound

This paper cites OminiControl: Minimal and Universal Control for Diffusion Transformer.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images OminiControl: Minimal and Universal Control for Diffusion Transformer

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-15T17:26:22.038683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:240019bdde6bbcaa647a12b892a480db54c064dbe82f0fe423841d5221bdd07c

Observation 5e6cca6e-734e-4ff8-ad18-636cbe264471 · outbound

This paper cites Yolov8.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images Yolov8

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T17:26:22.458435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:ce10c461c31379a1ae8a53a4abd2a9aa7083947d7c26ad287ba2fd42de662731

Observation d4fd8af5-fa36-4df9-9f21-97ae993b668e · outbound

This paper cites DiffX: Guide Your Layout to Cross-Modal Generative Modeling.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images DiffX: Guide Your Layout to Cross-Modal Generative Modeling

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-15T17:26:22.103138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:942e0ea28b0997695de91a9d870f437c16deab169029347a21dde30f3758e33a

Observation 41f1c8ae-9c15-4fab-9375-18b93491d4ca · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.IEEE transactions on image processing, 13(4):600–612.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images Image quality assessment: from error visibility to structural similarity.IEEE transactions on image processing, 13(4):600–612

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T17:26:22.446535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:f0e5178d6511108cd3ec11bc230a8e713b5a4bffa808085c1da674a5d46c2757

Observation e6b80d21-a358-49f9-8401-b0e1767b54fd · outbound

This paper cites Personalized Image Generation with Deep Generative Models: A Decade Survey.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images Personalized Image Generation with Deep Generative Models: A Decade Survey

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-15T17:26:22.024518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:a109d48cfa36fb2f94ab24395a983dc584d8aea22d9d6e24fa5f6cc96b97d088

Observation 491d3f7c-df6c-4f76-a481-c57d03716987 · outbound

This paper cites Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels

Reference 50

Resolution
verified exact
local_arxiv, observed 2026-05-15T17:26:22.074770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:48f91dd630e487a51228b0f3d3f3f14d2d92b2bcb4885ad0bc4aad70129bc11b

Observation ef676a71-c702-4551-a829-df40402d978d · outbound

This paper cites Smartbrush: Text and shape guided object inpainting with diffusion model.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images Smartbrush: Text and shape guided object inpainting with diffusion model

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T17:26:22.454951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:9f1debc41458b02a7e4879acf3809a5dc3acbfecef5af3ca5d9a632790937175

Observation d2f63aa8-4771-455b-9d39-b436d3eeceaf · outbound

This paper cites Attngan: Fine-grained text to image generation with attentional generative adversarial networks.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images Attngan: Fine-grained text to image generation with attentional generative adversarial networks

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T17:26:22.472548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:15b87016ef9f0bdc2eba49620328b7c5cbde36b36f9115e79b297eba6e5a258e

Observation b6cd6f38-0466-4f82-8f81-bfb9e0d00537 · outbound

This paper cites Paint by example: Exemplar-based image editing with diffusion models.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images Paint by example: Exemplar-based image editing with diffusion models

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T17:26:22.481295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:0e55415b1bd77cba067b42e2ce3ddbb5246fd28218d111ff5a88eec7c4bec1ef

Observation c9d7a1f5-e75c-466d-9c90-78a5861dba2a · outbound

This paper cites Uni-paint: A unified framework for multimodal image inpainting with pretrained diffusion model.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images Uni-paint: A unified framework for multimodal image inpainting with pretrained diffusion model

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T17:26:22.504620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:43c4a47b6289c34297a0ecf9836fc97f11d1e69651f0c6e2be7b148c45eb7985

Observation c9334e63-9afc-417b-bb7c-110ad6e52b5b · outbound

This paper cites Scaling Autoregressive Models for Content-Rich Text-to-Image Generation.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 55

Resolution
verified exact
local_arxiv, observed 2026-05-15T17:26:22.030352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:8f56c32b1b138bb7d9b8ab01b6f7d904f31440fd2f87def2c0979ea97ea22de9

Observation 64b42deb-8038-494a-9e2b-1560eaf95c30 · outbound

This paper cites Trade-offs in Image Generation: How Do Different Dimensions Interact?.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images Trade-offs in Image Generation: How Do Different Dimensions Interact?

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-15T17:26:22.046145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:d4547e86391d3bf7b2b017a65402dc64df79f7f7bbacfd8022d29c0785b03bf5

Observation 259f433a-1ed2-4b49-880b-6438b56463bc · outbound

This paper cites Artbank: Artistic style transfer with pre-trained diffusion model and implicit style prompt bank.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images Artbank: Artistic style transfer with pre-trained diffusion model and implicit style prompt bank

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T17:26:22.494198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:96692a04d8dad837d5c54b7e075d31831c4dc6bb56e4a4f965f04f82b5a3861f

Observation d308e4c4-b996-47f8-9671-2efc69516b14 · outbound

This paper cites U-StyDiT: Ultra-high Quality Artistic Style Transfer Using Diffusion Transformers.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images U-StyDiT: Ultra-high Quality Artistic Style Transfer Using Diffusion Transformers

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-15T17:26:22.081310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:078c9fc428441cd481c2ded6d838ada13f24430b488c2e6e469428d320b983a3

Observation cd3e8d1d-6ac6-47ef-878c-87ea7e783437 · outbound

This paper cites Objectadd: adding objects into image via a training-free diffusion modification fashion.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images Objectadd: adding objects into image via a training-free diffusion modification fashion

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-05-15T17:26:22.069390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:29e97ff91888d6ec3b07de8c304e942ecd6a007766ab0c2472db7d0bb441572e

Observation 64f29863-abc7-4d14-9076-2bd5ec08d317 · outbound

This paper cites MagicTailor: Component-Controllable Personalization in Text-to-Image Diffusion Models.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images MagicTailor: Component-Controllable Personalization in Text-to-Image Diffusion Models

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-05-15T17:26:22.096152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:24734fa65258a72887b09e98f11bba48c046985e717570bd2c56e0d3cb6782c4

Observation f1114358-2b82-495b-ab7a-5e11ac302582 · outbound

This paper cites Change the object in the black square to the product in the left image.

HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images Change the object in the black square to the product in the left image

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-05-15T17:26:22.052238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T17:26:02.023978Z digest=sha256:93157a8362a13797178564a7c977d122c5b9041d31d048b70a9716d129bd43f4

Pith citing papers

Observation 40f71188-02fd-412c-b9af-d41ddf073a70 · inbound

OmniShow: Unifying Multimodal Conditions for Human-Object Interaction Video Generation cites this paper.

OmniShow: Unifying Multimodal Conditions for Human-Object Interaction Video Generation HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-05-11T11:06:05.849493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T15:09:02.727887Z digest=sha256:843c347d1c0151f7d025d53537989829d880b45ea1a2e5d9afb1d53bbba8f2bf