PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control | Paper Citation Record

Observation 5f05aef1-a993-4694-9018-ccfb5477c9db · outbound

This paper cites Blended diffusion for text-driven editing of natural images.

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control Blended diffusion for text-driven editing of natural images

Reference 1

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Observation 4624540a-00a8-45ed-8fbe-3ff6ee0f3808 · outbound

This paper cites Blended latent diffusion.

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control Blended latent diffusion

Reference 2

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Observation 4848f318-6f1b-4f8b-b1c4-30890d19eb30 · outbound

This paper cites In- structpix2pix: Learning to follow image editing instructions.

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control In- structpix2pix: Learning to follow image editing instructions

Reference 3

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Observation ddc2e7d1-d955-410d-b73e-fa640e208613 · outbound

This paper cites PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis.

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

Reference 4

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Observation 220b7bba-95cc-4f0f-bc84-1baf7a9da7c4 · outbound

This paper cites ShareGPT4V: Improving Large Multi-Modal Models with Better Captions.

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control ShareGPT4V: Improving Large Multi-Modal Models with Better Captions

Reference 5

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Observation 7dafb205-ca3a-427b-b1b9-958d3d1704f4 · outbound

This paper cites Latentpaint: Image inpainting in latent space with diffusion models.

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control Latentpaint: Image inpainting in latent space with diffusion models

Reference 6

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Observation 1bd21f8c-a976-49f2-a8a7-8e590d5a12c2 · outbound

This paper cites Van Gogh Diffusion Model.

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control Van Gogh Diffusion Model

Reference 7

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Observation 0e9df746-6387-4d09-95f0-2a3e80315212 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control Imagenet: A large-scale hierarchical image database

Reference 8

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Observation d6decae3-c276-41c9-9de7-98e690c09beb · outbound

This paper cites An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion.

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Reference 9

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Observation 4bf3130a-526f-4993-8061-7b28d77d2e6c · outbound

This paper cites Generative adversarial networks.

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control Generative adversarial networks

Reference 10

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Observation 338d881f-cbbc-4c78-99e1-2dbd3aa682b3 · outbound

This paper cites Counterfeit-v3.0.

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control Counterfeit-v3.0

Reference 11

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Observation 67d376c2-9bcd-4f28-92ab-c97b5208e1c6 · outbound

This paper cites Prompt-to-Prompt Image Editing with Cross Attention Control.

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control Prompt-to-Prompt Image Editing with Cross Attention Control

Reference 12

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Observation 5080f77e-1a6b-4a62-bbbf-ab7c61740938 · outbound

This paper cites Classifier-Free Diffusion Guidance.

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control Classifier-Free Diffusion Guidance

Reference 13

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Observation ae7d3960-88d6-4f14-bb8f-6b9ea9e79a88 · outbound

This paper cites Denoising dif- fusion probabilistic models.

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control Denoising dif- fusion probabilistic models

Reference 14

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Observation bb06ac7a-6134-48c0-b923-b1699421b51d · outbound

This paper cites Introvae: Introspective variational autoencoders for photo- graphic image synthesis.

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control Introvae: Introspective variational autoencoders for photo- graphic image synthesis

Reference 15

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Observation f027f0f6-bdc2-4ce6-a208-668ee89b2f1a · outbound

This paper cites BrushNet: A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion.

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control BrushNet: A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion

Reference 16

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Observation 44e79534-fc81-412a-8287-1eed21168981 · outbound

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

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control Progressive Growing of GANs for Improved Quality, Stability, and Variation

Reference 17

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Observation c3e37608-c1f3-495f-96be-d6b939c770da · outbound

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

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control A style-based generator architecture for generative adversarial networks

Reference 18

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Observation 1831a27f-70d6-4059-a430-0e3ffae1f274 · outbound

This paper cites The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale.

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale

Reference 19

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Observation e46eaf5e-9563-408a-ae6e-3dd2ad176540 · outbound

This paper cites Blip-diffusion: Pre- trained subject representation for controllable text-to-image generation and editing.

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control Blip-diffusion: Pre- trained subject representation for controllable text-to-image generation and editing

Reference 20

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Observation 5e2d2eb4-83c3-4b47-a261-3993e2615695 · outbound

This paper cites Microsoft coco: Common objects in context.

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control Microsoft coco: Common objects in context

Reference 21

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Observation 9608787f-f3d9-4a1c-9d13-185746bf4711 · outbound

This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 22

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Observation 5bd25526-f49a-49fe-b264-cd3d4ec2f417 · outbound

This paper cites Deep learning face attributes in the wild.

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control Deep learning face attributes in the wild

Reference 23

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This paper cites Spe- cialist diffusion: Plug-and-play sample-efficient fine-tuning of text-to-image diffusion models to learn any unseen style.

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control Spe- cialist diffusion: Plug-and-play sample-efficient fine-tuning of text-to-image diffusion models to learn any unseen style

Reference 24

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Observation 91ee503a-dfaa-477d-b9a5-3bb69e6b13d7 · outbound

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

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control Repaint: Inpainting using denoising diffusion probabilistic models

Reference 25

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Observation 195eab47-b378-4ac6-848a-9e2c120db411 · outbound

This paper cites HD-Painter: High-Resolution and Prompt-Faithful Text-Guided Image Inpainting with Diffusion Models.

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control HD-Painter: High-Resolution and Prompt-Faithful Text-Guided Image Inpainting with Diffusion Models

Reference 26

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Observation 97b9a741-4258-4870-b88d-e994c42db0bd · outbound

This paper cites 9 On distillation of guided diffusion models.

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control 9 On distillation of guided diffusion models

Reference 27

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Observation b9c9adfa-c601-4064-80ed-dd51ccc4ae86 · outbound

This paper cites T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models.

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models

Reference 28

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Observation 664f6b88-6f46-4cbb-8559-79c2c381d4ed · outbound

This paper cites Gen- erating diverse structure for image inpainting with hierar- chical vq-vae.

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control Gen- erating diverse structure for image inpainting with hierar- chical vq-vae

Reference 29

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Observation 605f0573-b13f-4314-86e8-0700cfa1ab60 · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 30

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This paper cites Deep learning-based image and video inpainting: A survey.

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control Deep learning-based image and video inpainting: A survey

Reference 31

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Observation 0fbdadc0-c71d-46ae-8f08-62e8530bf03a · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control Learning transferable visual models from natural language supervi- sion

Reference 32

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Observation 162ebc24-fa95-44f9-b5aa-0dd63af9adf6 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 33

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Observation e00b82db-9c9a-48d9-adc5-f207385ae29b · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 34

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Observation 6f1b02ec-ae0e-4c18-9de6-08e24b74d8af · outbound

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PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control High-resolution image synthesis with latent diffusion models

Reference 35

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Observation 4add31f2-50d3-4509-978e-597eade4be58 · outbound

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

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 36

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This paper cites Photorealistic text-to-image diffusion models with deep language understanding.

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control Photorealistic text-to-image diffusion models with deep language understanding

Reference 37

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This paper cites Mi-gan: A simple baseline for image in- painting on mobile devices.

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control Mi-gan: A simple baseline for image in- painting on mobile devices

Reference 38

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This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models.

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control Laion-5b: An open large-scale dataset for training next generation image-text models

Reference 39

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PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control Unresolved cited work

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This paper cites Chatglm: A family of large language mod- els from glm-130b to glm-4 all tools.

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control Chatglm: A family of large language mod- els from glm-130b to glm-4 all tools

Reference 41

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Observation 08a11d1c-1ca7-4d59-96fc-fddcc29df6e9 · outbound

This paper cites High-fidelity pluralistic image completion with transform- ers.

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control High-fidelity pluralistic image completion with transform- ers

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Observation 0d9b42e2-439e-47b0-8527-fd429371549c · outbound

This paper cites Imagen editor and editbench: Advancing and evaluating text-guided im- age inpainting.

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control Imagen editor and editbench: Advancing and evaluating text-guided im- age inpainting

Reference 43

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Observation a945daad-0538-4d4f-89f3-35acf74e3936 · outbound

This paper cites GODIVA: Generating Open-DomaIn Videos from nAtural Descriptions.

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control GODIVA: Generating Open-DomaIn Videos from nAtural Descriptions

Reference 44

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

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control Smartbrush: Text and shape guided object inpainting with diffusion model

Reference 45

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This paper cites DreamInpainter: Text-Guided Subject-Driven Image Inpainting with Diffusion Models.

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control DreamInpainter: Text-Guided Subject-Driven Image Inpainting with Diffusion Models

Reference 46

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PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control Imagere- ward: Learning and evaluating human preferences for text- to-image generation

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This paper cites Image completion with heterogeneously filtered spectral hints.

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control Image completion with heterogeneously filtered spectral hints

Reference 48

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This paper cites A review of image in- painting methods based on deep learning.

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control A review of image in- painting methods based on deep learning

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Observation d99c2d05-c783-4a7e-b08c-050e6929347e · outbound

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

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control Uni-paint: A unified framework for multimodal image inpainting with pretrained diffusion model

Reference 50

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Observation dfe5428e-6a8b-445a-9757-0fe97cfc1f04 · outbound

This paper cites Towards coherent image in- painting using denoising diffusion implicit models.

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control Towards coherent image in- painting using denoising diffusion implicit models

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:38:02.701316Z

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Observation 67167e36-4b0a-4bce-9009-2c93cbece0e2 · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control Adding conditional control to text-to-image diffusion models

Reference 52

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Observation ef3560c7-f4ed-4fce-8abc-b80c37b63855 · outbound

This paper cites Large Scale Image Completion via Co-Modulated Generative Adversarial Networks.

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control Large Scale Image Completion via Co-Modulated Generative Adversarial Networks

Reference 53

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Observation e185bfba-95e8-457e-a282-03296a4954ea · outbound

This paper cites Pluralistic image completion.

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control Pluralistic image completion

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-12T04:38:02.294160Z

Source-reported events for the cited work

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Observation 8ae1702d-2fb9-426f-8f4e-9df092f1317a · outbound

This paper cites Image inpainting with cascaded modulation gan and object-aware training.

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control Image inpainting with cascaded modulation gan and object-aware training

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:38:02.656575Z

Source-reported events for the cited work

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Observation c484a0c9-237f-428c-af1d-9232d884b024 · outbound

This paper cites an unresolved cited work.

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control Unresolved cited work

Reference 56

Resolution: unresolved; raw_fallback, observed 2026-08-12T04:38:02.640377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9646e536-038b-4f3c-94d8-46dbd49dc2fb · outbound

This paper cites an unresolved cited work.

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-08-12T04:38:02.624367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 788d3a88-bdb8-4da8-bf87-ef5ffc1b847c · outbound

This paper cites 8, our PainterBench ensures a uniform distribution among various categories, including humans, animals, cartoons, as well as indoor and outdoor scenes.

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control 8, our PainterBench ensures a uniform distribution among various categories, including humans, animals, cartoons, as well as indoor and outdoor scenes

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:38:02.608340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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