Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework | Paper Citation Record

Observation a990a899-c55f-4464-8f02-10ad741d1f37 · outbound

This paper cites Dc2: Dual-camera defocus control by learning to refocus.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework Dc2: Dual-camera defocus control by learning to refocus

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T20:51:52.624499Z

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Observation fefec1b2-61f3-4f54-8f58-82c28725ae38 · outbound

This paper cites Fast bilateral-space stereo for synthetic de- focus.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework Fast bilateral-space stereo for synthetic de- focus

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T20:51:52.616350Z

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Observation e8f2af86-88f0-4b08-9775-32fd8d571491 · outbound

This paper cites Real-time, accurate depth of field using anisotropic diffusion and programmable graphics cards.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework Real-time, accurate depth of field using anisotropic diffusion and programmable graphics cards

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T20:51:52.738575Z

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Observation 6da7c4cd-e7a8-4041-aed7-92f7776dcba0 · outbound

This paper cites Sterefo: Efficient image refocusing with stereo vision.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework Sterefo: Efficient image refocusing with stereo vision

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T20:51:52.608619Z

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Observation 5a9a613d-c205-4dbb-b010-2465538528ed · outbound

This paper cites Toward real-world single image super-resolution: A new benchmark and a new model.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework Toward real-world single image super-resolution: A new benchmark and a new model

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T20:51:52.628126Z

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Observation beaf473e-93f0-4ff1-8f11-0aa2b3124352 · outbound

This paper cites Image quality assessment: Unifying structure and texture similarity.IEEE transactions on pattern analysis and ma- chine intelligence, 44(5):2567–2581.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework Image quality assessment: Unifying structure and texture similarity.IEEE transactions on pattern analysis and ma- chine intelligence, 44(5):2567–2581

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T20:51:52.687555Z

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Observation 34142601-b0fb-4914-9830-cab69298402e · outbound

This paper cites Diffusion self-guidance for control- lable image generation.Advances in Neural Information Processing Systems, 36:16222–16239.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework Diffusion self-guidance for control- lable image generation.Advances in Neural Information Processing Systems, 36:16222–16239

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T20:51:52.694358Z

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Observation 6174356e-b31f-474e-85c6-5e793a9a11ee · outbound

This paper cites Vision meets robotics: The kitti dataset.The in- ternational journal of robotics research, 32(11):1231–1237.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework Vision meets robotics: The kitti dataset.The in- ternational journal of robotics research, 32(11):1231–1237

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T20:51:52.725969Z

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Observation 86731824-48f8-4cc8-94bf-8823eed2ec73 · 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.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework Gans trained by a two time-scale update rule converge to a local nash equilib- rium.Advances in neural information processing systems, 30

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T20:51:52.712267Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 688fe2e9-2741-4307-87d8-08873c793dfc · outbound

This paper cites Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T20:51:52.620216Z

Source-reported events for the cited work

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Observation 426f4c36-ba14-4aae-ae45-4b7c5f79c90f · outbound

This paper cites Lora: Low-rank adaptation of large language models.ICLR, 1(2):3.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework Lora: Low-rank adaptation of large language models.ICLR, 1(2):3

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T20:51:52.656776Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 834a2d4b-1ae2-499d-bae4-0152733ad3cc · outbound

This paper cites Sdmatte: Grafting diffusion models for interactive matting.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework Sdmatte: Grafting diffusion models for interactive matting

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T20:51:52.612644Z

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Observation f19e2ca2-54d6-4220-90a1-4c2247fff19f · outbound

This paper cites Rendering natural camera bokeh effect with deep learning.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework Rendering natural camera bokeh effect with deep learning

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T20:51:52.698062Z

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Observation 511d6414-773c-4645-9ff7-3dd39958d92d · outbound

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

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework A style-based generator architecture for generative adversarial networks

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T20:51:52.653188Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fe088b39-c5d1-43be-91ee-0518c5d28a96 · outbound

This paper cites Musiq: Multi-scale image quality transformer.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework Musiq: Multi-scale image quality transformer

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T20:51:52.639675Z

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Observation 8627e1ef-6df1-4c4e-b375-97cb58b5b868 · outbound

This paper cites Bk-sdm: Architecturally compressed stable diffusion for efficient text-to-image generation.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework Bk-sdm: Architecturally compressed stable diffusion for efficient text-to-image generation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T20:51:52.704898Z

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Observation 55c8a3b7-bb5b-410c-8153-2c2a05076853 · outbound

This paper cites Dense text-to-image generation with attention modulation.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework Dense text-to-image generation with attention modulation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T20:51:52.708537Z

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Observation 04ce77e6-473b-4567-be39-59a2f5725e1c · outbound

This paper cites Berg, Wan-Yen Lo, Piotr Doll ´ar, and Ross Girshick.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework Berg, Wan-Yen Lo, Piotr Doll ´ar, and Ross Girshick

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T20:51:52.722524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8eadc11f-cb5b-47cf-abf9-e8e0a7eed32f · outbound

This paper cites Depth-of-field render- ing by pyramidal image processing.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework Depth-of-field render- ing by pyramidal image processing

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T20:51:52.668526Z

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Observation ff18c1bf-0118-4b4f-8490-383b491feadc · outbound

This paper cites Real- time lens blur effects and focus control.ACM Transactions on Graphics (TOG), 29(4):1–7.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework Real- time lens blur effects and focus control.ACM Transactions on Graphics (TOG), 29(4):1–7

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T20:51:52.788597Z

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Observation 69805981-d04a-428b-bd11-de5ed87b74b9 · outbound

This paper cites Deep Automatic Natural Image Matting.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework Deep Automatic Natural Image Matting

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:26:27.238185Z

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Observation 0f005aab-93f9-4cb2-915f-fc273381a5f5 · outbound

This paper cites Dissecting Arbitrary-scale Super-resolution Capability from Pre-trained Diffusion Generative Models.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework Dissecting Arbitrary-scale Super-resolution Capability from Pre-trained Diffusion Generative Models

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:26:27.219992Z

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Observation 7443101a-7299-4c8e-a67e-0a10bcc0410e · outbound

This paper cites Lsdir: A large scale dataset for image restoration.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework Lsdir: A large scale dataset for image restoration

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T20:51:52.635542Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 713037b3-0777-454c-9762-53449d9805ee · outbound

This paper cites Real-time high-resolution background matting.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework Real-time high-resolution background matting

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T20:51:52.631632Z

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Observation faf9820d-eae7-40aa-99e9-a99b194e544e · outbound

This paper cites Diff- bir: Toward blind image restoration with generative diffusion prior.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework Diff- bir: Toward blind image restoration with generative diffusion prior

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T20:51:52.808805Z

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Observation 2f4167b8-f4d3-4fba-9686-a783cb8685c4 · outbound

This paper cites Diffusion models, image super-resolution, and everything: A 13 survey.IEEE Transactions on Neural Networks and Learn- ing Systems.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework Diffusion models, image super-resolution, and everything: A 13 survey.IEEE Transactions on Neural Networks and Learn- ing Systems

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T20:51:52.777157Z

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Observation 66566c9a-1f15-469e-852c-5f8c865c54d8 · outbound

This paper cites Bokehme: When neural rendering meets classical rendering.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework Bokehme: When neural rendering meets classical rendering

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T20:51:52.648660Z

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Observation 06b90416-67f4-42b4-8d3a-766d997ceb1a · outbound

This paper cites Mpib: An mpi-based bokeh ren- dering framework for realistic partial occlusion effects.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework Mpib: An mpi-based bokeh ren- dering framework for realistic partial occlusion effects

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T20:51:52.802627Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 323249ba-f2c3-4ec4-8582-2d8d5994f40a · outbound

This paper cites MIT Press.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework MIT Press

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T20:51:52.718977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7d0e0cd4-9e11-4c44-9c40-886df7fdf67f · outbound

This paper cites A lens and aper- ture camera model for synthetic image generation.ACM SIGGRAPH Computer Graphics, 15(3):297–305.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework A lens and aper- ture camera model for synthetic image generation.ACM SIGGRAPH Computer Graphics, 15(3):297–305

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T20:51:52.660421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 66afea03-dc1b-465e-b6b6-a5bcc8669bd3 · outbound

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

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework High-resolution image synthesis with latent diffusion models

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T20:51:52.732398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4ef1de99-e8aa-443d-a909-183f0fd8655d · outbound

This paper cites Adversarial diffusion distillation.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework Adversarial diffusion distillation

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T20:51:52.671793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0437c65c-45f7-4501-bd4d-e76cc219dc63 · outbound

This paper cites Efficient multi-lens bokeh ef- fect rendering and transformation.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework Efficient multi-lens bokeh ef- fect rendering and transformation

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T20:51:52.781148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation be76e41c-01e5-497e-90ce-c338fd226701 · outbound

This paper cites Deepfocus: detection of out-of-focus re- gions in whole slide digital images using deep learning.PloS one, 13(10):e0205387.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework Deepfocus: detection of out-of-focus re- gions in whole slide digital images using deep learning.PloS one, 13(10):e0205387

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T20:51:52.674976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e11fcbe6-9ab4-43b8-81bb-f0632c411d26 · outbound

This paper cites an unresolved cited work.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-05-12T20:51:52.768402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8b4734c5-e81b-490d-a2b7-9de946a5a9fd · outbound

This paper cites Indoor segmentation and support inference from rgbd images.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework Indoor segmentation and support inference from rgbd images

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T20:51:52.664558Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 69efd1f4-375b-434f-8270-025c76e5c249 · outbound

This paper cites Fourier depth of field.ACM Transac- tions on Graphics (TOG), 28(2):1–12.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework Fourier depth of field.ACM Transac- tions on Graphics (TOG), 28(2):1–12

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T20:51:52.715680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 01831aba-08dd-474f-839d-6a1e1ba4f6cd · outbound

This paper cites Denoising Diffusion Implicit Models.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework Denoising Diffusion Implicit Models

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-05-12T07:26:27.212543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a8067c66-924e-49e5-9098-f7e0ac0fba52 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework Score-Based Generative Modeling through Stochastic Differential Equations

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-05-12T07:26:27.166766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 970ed1fd-739d-4312-89a7-cab305e7adc4 · outbound

This paper cites Synthetic depth-of-field with a single-camera mobile phone.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework Synthetic depth-of-field with a single-camera mobile phone

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T20:51:52.604295Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4788f6a9-cdbc-4f85-8c97-6712c097a4f3 · outbound

This paper cites Ex- ploring clip for assessing the look and feel of images.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework Ex- ploring clip for assessing the look and feel of images

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T20:51:52.680182Z

Source-reported events for the cited work

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Observation 7016f04f-f93d-4ba3-839d-93b888b5775b · outbound

This paper cites DeepLens: Shallow Depth Of Field From A Single Image.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework DeepLens: Shallow Depth Of Field From A Single Image

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-07-04T23:08:18.669408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 96a8ac38-dedc-45c2-adb2-07360062d189 · outbound

This paper cites Real-esrgan: Training real-world blind super-resolution with pure synthetic data.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework Real-esrgan: Training real-world blind super-resolution with pure synthetic data

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T20:51:52.764573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6ded62a5-c532-40da-899e-63058bc9c9c6 · outbound

This paper cites Sinsr: diffusion-based image super- resolution in a single step.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework Sinsr: diffusion-based image super- resolution in a single step

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T20:51:52.784817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2dba15b4-ca07-45b5-9a3e-5c4ccb62b19f · outbound

This paper cites Trust but verify: Adaptive condi- tioning for reference-based diffusion super-resolution via implicit reference correlation modeling.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework Trust but verify: Adaptive condi- tioning for reference-based diffusion super-resolution via implicit reference correlation modeling

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:26:27.250986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b611b85f-5835-4890-80f4-37a1cf256d0b · outbound

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

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework Image quality assessment: from error visibility to structural similarity.IEEE transactions on image processing, 13(4):600–612

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T20:51:52.760813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 933a2e2e-4b21-402f-a84d-4254646f71e1 · outbound

This paper cites Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distilla- tion.Advances in Neural Information Processing Systems, 36:8406–8441.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distilla- tion.Advances in Neural Information Processing Systems, 36:8406–8441

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T20:51:52.742224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c4a5ff5c-aba3-4a82-acef-e3e21e32325f · outbound

This paper cites Component divide- and-conquer for real-world image super-resolution.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework Component divide- and-conquer for real-world image super-resolution

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T20:51:52.729404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 44f0460b-d2cc-4fd6-a7d0-5562e7cc284c · outbound

This paper cites One-step effective diffusion network for real-world image super-resolution.Advances in Neural Information Process- ing Systems, 37:92529–92553.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework One-step effective diffusion network for real-world image super-resolution.Advances in Neural Information Process- ing Systems, 37:92529–92553

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T20:51:52.701375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1d9b297c-532c-4ce7-b806-b192b7e3cddc · outbound

This paper cites Seesr: Towards semantics- aware real-world image super-resolution.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework Seesr: Towards semantics- aware real-world image super-resolution

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T20:51:52.644597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 27244d94-630e-4944-986e-736ae08d8aef · outbound

This paper cites Realism control one-step diffusion for real-world im- age super resolution.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework Realism control one-step diffusion for real-world im- age super resolution

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T20:51:52.735224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bee3ab63-2da7-43f3-864f-88e37fb1e815 · outbound

This paper cites AddSR: Accelerating Diffusion-based Blind Super-Resolution with Adversarial Diffusion Distillation.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework AddSR: Accelerating Diffusion-based Blind Super-Resolution with Adversarial Diffusion Distillation

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:26:27.202420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f0939ae6-d325-4473-8720-47bb58ebeb0c · outbound

This paper cites Depth any- thing v2.Advances in Neural Information Processing Sys- tems, 37:21875–21911.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework Depth any- thing v2.Advances in Neural Information Processing Sys- tems, 37:21875–21911

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T20:51:52.805798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4d0e7760-84c8-48c4-84cd-2de54355358e · outbound

This paper cites Maniqa: Multi-dimension attention network for no-reference image quality assessment.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework Maniqa: Multi-dimension attention network for no-reference image quality assessment

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T20:51:52.795845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 66f7e9e0-2577-4c56-96a4-d5f0be2f9758 · outbound

This paper cites Any-to-bokeh: One-step video bokeh via multi-plane image guided diffu- sion.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework Any-to-bokeh: One-step video bokeh via multi-plane image guided diffu- sion

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:26:27.156172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5df188a8-d9d2-4877-ab51-04ff3aa52974 · outbound

This paper cites Scaling up to excellence: Practicing model scaling for photo- realistic image restoration in the wild.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework Scaling up to excellence: Practicing model scaling for photo- realistic image restoration in the wild

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T20:51:52.798884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e96fb35c-33ef-4b1c-b610-84cf826f042f · outbound

This paper cites Mask guided matting via progressive refinement network.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework Mask guided matting via progressive refinement network

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T20:51:52.792740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6ec5ce36-291b-4742-9fe3-20726580a0cc · outbound

This paper cites Difface: Blind face restoration with diffused error contraction.IEEE Transac- tions on Pattern Analysis and Machine Intelligence.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework Difface: Blind face restoration with diffused error contraction.IEEE Transac- tions on Pattern Analysis and Machine Intelligence

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T20:51:52.771877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 39c3510f-778e-4e8c-beeb-b9ee074efec1 · outbound

This paper cites Degradation-Guided One-Step Image Super-Resolution with Diffusion Priors.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework Degradation-Guided One-Step Image Super-Resolution with Diffusion Priors

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:26:27.143888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 26e70b9c-f175-4d53-a67e-386651b13c45 · outbound

This paper cites A feature-enriched completely blind image quality evaluator.IEEE Transactions on Image Processing, 24(8):2579–2591.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework A feature-enriched completely blind image quality evaluator.IEEE Transactions on Image Processing, 24(8):2579–2591

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T20:51:52.690952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d089bd29-bd4e-46d5-94ae-4d84367a5fc0 · outbound

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

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework Adding conditional control to text-to-image diffusion models

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T20:51:52.812457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0d436c33-b727-4071-bd24-d592736eda82 · outbound

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

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework The unreasonable effectiveness of deep features as a perceptual metric

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T20:51:52.683428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 21c67f54-1360-4c3a-b27f-4c943151d966 · outbound

This paper cites Synthetic Defocus and Look-Ahead Autofocus for Casual Videography.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework Synthetic Defocus and Look-Ahead Autofocus for Casual Videography

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-07-04T23:38:33.678702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5c0d8e18-acc1-491e-988b-f5020859cd2c · outbound

This paper cites Bokehdiff: Neural lens blur with one-step diffusion.

Towards Photorealistic and Efficient Bokeh Rendering via Diffusion Framework Bokehdiff: Neural lens blur with one-step diffusion

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:26:27.172925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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