Boosting Monocular Metric Depth Estimation via Bokeh Rendering | Paper Citation Record

Observation 7d186be4-708d-426a-9357-cdaed1cf1250 · outbound

This paper cites Defocus de- blurring using dual-pixel data.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Defocus de- blurring using dual-pixel data

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Observation 7ef2ebe4-3e79-491c-9ee0-8a47f0787a76 · outbound

This paper cites Single lens stereo with a plenoptic camera.IEEE transactions on pattern analysis and machine intelligence, 14(2):99–106, 1992.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Single lens stereo with a plenoptic camera.IEEE transactions on pattern analysis and machine intelligence, 14(2):99–106, 1992

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Observation 78cea8b6-f371-41c9-8683-9d3fb53927b2 · outbound

This paper cites Fast bilateral-space stereo for synthetic defocus.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Fast bilateral-space stereo for synthetic defocus

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Observation 4ff94d75-4bcc-454b-bbf7-a9b63cbc28f2 · outbound

This paper cites an unresolved cited work.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Unresolved cited work

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Observation 154d6943-2920-4ac1-bb21-5f14544622c0 · outbound

This paper cites Adabins: Depth estimation using adaptive bins.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Adabins: Depth estimation using adaptive bins

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Observation a6bca14a-47d0-4f5e-b09a-af504709a496 · outbound

This paper cites ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth

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Observation 5d7c030e-8da3-47ad-bf2e-d4830e2e3d06 · outbound

This paper cites Role of optics in the accuracy of depth-from-defocus systems.Journal of the Optical Society of America A, 24(4):967–972, 2007.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Role of optics in the accuracy of depth-from-defocus systems.Journal of the Optical Society of America A, 24(4):967–972, 2007

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Observation 9431d90f-3c79-4ed8-8d34-043ff189cdac · outbound

This paper cites Depth Pro: Sharp Monocular Metric Depth in Less Than a Second.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Depth Pro: Sharp Monocular Metric Depth in Less Than a Second

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Observation 4c6ef048-5f4d-41e6-91c4-32b20b830bb7 · outbound

This paper cites Instructpix2pix: Learning to follow image editing instruc- tions.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Instructpix2pix: Learning to follow image editing instruc- tions

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Observation 502be662-0236-4fcd-a17e-d582db386159 · outbound

This paper cites A naturalistic open source movie for op- tical flow evaluation.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering A naturalistic open source movie for op- tical flow evaluation

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Observation abd711bd-f38f-47eb-84ab-ecf1e448a1f8 · outbound

This paper cites Virtual KITTI 2.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Virtual KITTI 2

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Observation bca9b3f2-fd61-443f-bf11-e7df6e6428c8 · outbound

This paper cites Depth from defocus: a real aperture imaging approach.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Depth from defocus: a real aperture imaging approach

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Observation 9e75b3e9-1a31-4428-a735-3734ca68c94a · outbound

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

Boosting Monocular Metric Depth Estimation via Bokeh Rendering PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

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Observation 799f4abf-288c-4562-a79e-018b2b6ea7ef · outbound

This paper cites Pixart-σ: Weak-to-strong training of diffusion transformer for 4k text-to-image generation.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Pixart-σ: Weak-to-strong training of diffusion transformer for 4k text-to-image generation

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Observation dfe1bb25-d976-4c82-8f09-feb9b4a3c3f5 · outbound

This paper cites Vision transformers need registers, 2023.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Vision transformers need registers, 2023

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Observation 52d7879a-23e4-44c2-b3b9-abce4cbb18df · 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, 2020.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Image quality assessment: Unifying structure and texture similarity.IEEE transactions on pattern analysis and ma- chine intelligence, 44(5):2567–2581, 2020

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Observation 04c8525a-aa95-49de-ba12-beec2c130013 · outbound

This paper cites Diffusion- depth: Diffusion denoising approach for monocular depth estimation.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Diffusion- depth: Diffusion denoising approach for monocular depth estimation

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Observation f5a06929-86a4-4a72-8bd0-b591c920bc23 · outbound

This paper cites Feature-wise transformations.Distill, 3(7):e11, 2018.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Feature-wise transformations.Distill, 3(7):e11, 2018

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Observation bd848da7-2302-4c68-a83a-86826f50996d · outbound

This paper cites Depth map prediction from a single image using a multi-scale deep network.Advances in neural information processing systems, 27, 2014.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Depth map prediction from a single image using a multi-scale deep network.Advances in neural information processing systems, 27, 2014

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Observation 3a9707b4-7d37-4b75-889d-f4feaa920f71 · outbound

This paper cites An investigation of methods for determining depth from focus.IEEE Transactions on pattern analysis and machine intelligence, 15(2):97–108,.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering An investigation of methods for determining depth from focus.IEEE Transactions on pattern analysis and machine intelligence, 15(2):97–108,

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Observation f0e5feb3-e818-45c9-ac8b-1753c83f5af5 · outbound

This paper cites Scaling recti- fied flow transformers for high-resolution image synthesis.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Scaling recti- fied flow transformers for high-resolution image synthesis

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Observation 0a41b26d-c4dc-4551-94f4-7af77564b4be · outbound

This paper cites Cam- convs: Camera-aware multi-scale convolutions for single- view depth.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Cam- convs: Camera-aware multi-scale convolutions for single- view depth

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Observation 26b71bd4-ffe3-4df6-b8e9-bcf74f1531af · outbound

This paper cites A geometric approach to shape from defocus.IEEE Transactions on Pattern Analysis and Machine Intelligence, 27(3):406–417, 2005.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering A geometric approach to shape from defocus.IEEE Transactions on Pattern Analysis and Machine Intelligence, 27(3):406–417, 2005

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Observation 43ca8f0a-b091-42c4-b04b-15f07b964cd8 · outbound

This paper cites Shape from defocus via diffusion.IEEE transac- tions on pattern analysis and machine intelligence, 30(3): 518–531, 2008.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Shape from defocus via diffusion.IEEE transac- tions on pattern analysis and machine intelligence, 30(3): 518–531, 2008

Reference 24

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Observation ed40d61d-2e51-4cfe-a31e-6b450a038c6b · outbound

This paper cites Bokeh Diffusion: Defocus Blur Control in Text-to-Image Diffusion Models.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Bokeh Diffusion: Defocus Blur Control in Text-to-Image Diffusion Models

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Observation 23427c68-be4c-414e-9d9d-6b96c8f29311 · outbound

This paper cites Deep ordinal regression network for monocular depth estimation.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Deep ordinal regression network for monocular depth estimation

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Observation c0197702-9186-4f16-8b39-77ad6e7edf34 · outbound

This paper cites Deep depth from focal stack with de- focus model for camera-setting invariance.International Journal of Computer Vision, 132(6):1970–1985, 2024.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Deep depth from focal stack with de- focus model for camera-setting invariance.International Journal of Computer Vision, 132(6):1970–1985, 2024

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Observation 12d364c5-3e50-49bf-802d-36c87300692f · outbound

This paper cites Robust monocular depth 9 estimation under challenging conditions.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Robust monocular depth 9 estimation under challenging conditions

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Observation be6c9d18-9f15-48ef-96b8-d657777608fb · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Are we ready for autonomous driving? the kitti vision benchmark suite

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This paper cites Pearson ed- ucation india, 2009.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Pearson ed- ucation india, 2009

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Observation 4d3a4c38-5a23-46ea-98b4-dce3a3d91523 · outbound

This paper cites Depth any camera: Zero-shot met- ric depth estimation from any camera.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Depth any camera: Zero-shot met- ric depth estimation from any camera

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Observation 165bc42f-98c9-4b1e-bd64-8db1db101e59 · outbound

This paper cites Deep depth from focus.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Deep depth from focus

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Observation c119d350-4ab7-49c5-b795-b48f95b779fa · outbound

This paper cites Denoising dif- fusion probabilistic models.Advances in neural informa- tion processing systems, 33:6840–6851, 2020.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Denoising dif- fusion probabilistic models.Advances in neural informa- tion processing systems, 33:6840–6851, 2020

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Boosting Monocular Metric Depth Estimation via Bokeh Rendering Unresolved cited work

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Boosting Monocular Metric Depth Estimation via Bokeh Rendering Unresolved cited work

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Observation 803b7ff9-037a-4c13-ac8b-5d195f11934f · outbound

This paper cites Attention in Diffusion Model: A Survey.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Attention in Diffusion Model: A Survey

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Observation aa2d0f56-f0d4-42b9-b85d-76ab3987736e · outbound

This paper cites A systematic review of monocular depth es- timation for autonomous driving: Methods and dataset benchmarking.Results in Engineering, page 105359, 2025.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering A systematic review of monocular depth es- timation for autonomous driving: Methods and dataset benchmarking.Results in Engineering, page 105359, 2025

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Observation 156acd8f-7796-4c99-9383-9d87012a90e6 · outbound

This paper cites Render- ing natural camera bokeh effect with deep learning.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Render- ing natural camera bokeh effect with deep learning

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Observation aed1f7b4-5eb9-45ae-bbcd-50528c002f3b · outbound

This paper cites Depth from defo- cus with learned optics for imaging and occlusion-aware depth estimation.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Depth from defo- cus with learned optics for imaging and occlusion-aware depth estimation

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Observation 11fa3aa9-2381-4635-a70b-f4eb4c483486 · outbound

This paper cites A variational approach to shape from defocus.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering A variational approach to shape from defocus

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This paper cites V o, Patrick Labatut, and Piotr Bo- janowski.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering V o, Patrick Labatut, and Piotr Bo- janowski

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Observation 1bc6a51c-47b4-421c-898f-54b88ec55d71 · outbound

This paper cites Is my Depth Ground-Truth Good Enough? HAMMER -- Highly Accurate Multi-Modal Dataset for DEnse 3D Scene Regression.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Is my Depth Ground-Truth Good Enough? HAMMER -- Highly Accurate Multi-Modal Dataset for DEnse 3D Scene Regression

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Observation 4a25c99f-39cc-49c2-8d26-20e26339ec59 · outbound

This paper cites Re- purposing diffusion-based image generators for monocular depth estimation.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Re- purposing diffusion-based image generators for monocular depth estimation

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Observation 1cd1c3c1-b5cc-49cb-9f49-4404350835ba · outbound

This paper cites Evaluation of cnn-based single-image depth estimation methods.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Evaluation of cnn-based single-image depth estimation methods

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Observation bdd3c9fe-9b8b-44ab-afd4-9415cb5f2eb3 · outbound

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Boosting Monocular Metric Depth Estimation via Bokeh Rendering Depth-of-field render- ing by pyramidal image processing

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Observation 7e42283d-46c6-4f90-8d59-d5c81d19db28 · outbound

This paper cites Basic methods for image restoration and identification.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Basic methods for image restoration and identification

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Observation d4ffa5a1-4998-42fe-a892-c0c4e8a62068 · outbound

This paper cites Iterative filter adaptive network for single image defocus deblurring.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Iterative filter adaptive network for single image defocus deblurring

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Observation 80c3e454-5be0-46eb-bfc3-c75c80588f88 · outbound

This paper cites Real-time depth-of-field rendering using point splat- ting on per-pixel layers.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Real-time depth-of-field rendering using point splat- ting on per-pixel layers

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Observation 599007b5-5eff-47ac-ab81-5b379ceb91b6 · outbound

This paper cites Real-time lens blur effects and focus control.ACM Trans- actions on Graphics (TOG), 29(4):1–7, 2010.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Real-time lens blur effects and focus control.ACM Trans- actions on Graphics (TOG), 29(4):1–7, 2010

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Observation 3aa39b42-5e47-4c82-99a8-9e601169e51a · outbound

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Boosting Monocular Metric Depth Estimation via Bokeh Rendering Megadepth: Learning single-view depth prediction from internet photos

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Observation b4cf75e8-f3f7-4d24-95d0-608b290f2bf8 · outbound

This paper cites Patch- fusion: An end-to-end tile-based framework for high- resolution monocular metric depth estimation.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Patch- fusion: An end-to-end tile-based framework for high- resolution monocular metric depth estimation

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Observation 53cef9eb-a739-4a71-ab27-dff1b09ced7c · outbound

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Boosting Monocular Metric Depth Estimation via Bokeh Rendering BenchDepth: Are We on the Right Way to Evaluate Depth Foundation Models?

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Boosting Monocular Metric Depth Estimation via Bokeh Rendering Real-time high-resolution background mat- 10 ting

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Observation a9f90f1b-1cdb-4ce4-b5bb-782efc3f239c · outbound

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Boosting Monocular Metric Depth Estimation via Bokeh Rendering Flow Matching for Generative Modeling

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This paper cites Towards understanding cross and self-attention in stable diffusion for text-guided image editing.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Towards understanding cross and self-attention in stable diffusion for text-guided image editing

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Observation 20e76ddb-b49b-4f4f-82a6-ccd06ede9260 · outbound

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Boosting Monocular Metric Depth Estimation via Bokeh Rendering Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

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Observation b2c4e7d3-d49b-4459-800e-0ecdc3ee8643 · outbound

This paper cites Defocus to focus: Photo-realistic bokeh rendering by fusing defocus and radiance priors.Information Fusion, 89: 320–335, 2023.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Defocus to focus: Photo-realistic bokeh rendering by fusing defocus and radiance priors.Information Fusion, 89: 320–335, 2023

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Observation 630b5b0f-fc98-4b4f-999f-9f786514cbec · outbound

This paper cites Neural bokeh: Learning lens blur for computational videography and out-of-focus mixed reality.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Neural bokeh: Learning lens blur for computational videography and out-of-focus mixed reality

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Observation 3a3dd0e4-c1f8-4541-82cb-4d128e5a492e · outbound

This paper cites Fo- cus on defocus: bridging the synthetic to real domain gap for depth estimation.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Fo- cus on defocus: bridging the synthetic to real domain gap for depth estimation

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Observation 6fca0306-3ef4-40c5-9d43-13c52b8473f1 · outbound

This paper cites SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations

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Observation 49af596c-5c6b-4842-aaeb-c241793c3dd8 · outbound

This paper cites Real-time focus range sensor.IEEE Transactions on Pat- tern Analysis and Machine Intelligence, 18(12):1186–1198,.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Real-time focus range sensor.IEEE Transactions on Pat- tern Analysis and Machine Intelligence, 18(12):1186–1198,

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Observation 6fe98127-fc5d-4ba0-8a1d-2b032760cedd · outbound

This paper cites The fourth monocular depth estimation challenge.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering The fourth monocular depth estimation challenge

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44ba004d-565d-474d-b856-d30117870012 · outbound

This paper cites an unresolved cited work.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Unresolved cited work

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Source-reported events for the cited work

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Observation 1b41ef8c-9990-42be-b6d8-e2a011031ffd · outbound

This paper cites In- teractive portrait bokeh rendering system.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering In- teractive portrait bokeh rendering system

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Observation 22e6ef3d-5bb3-4039-85db-07ce8a067a91 · outbound

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

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Bokehme: When neural rendering meets classical rendering

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Source-reported events for the cited work

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Observation 5bb958ef-7e96-46f6-aa05-fda01dd12077 · outbound

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

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Mpib: An mpi-based bokeh ren- dering framework for realistic partial occlusion effects

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa342f97-dd07-4674-9980-bc5c64422139 · outbound

This paper cites Se- lective bokeh effect transformation.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Se- lective bokeh effect transformation

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Source-reported events for the cited work

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Observation 83f3aa76-2267-4aa3-96cc-f915055df5cf · outbound

This paper cites A new sense for depth of field.IEEE transactions on pattern analysis and machine intelligence, 11(4):523–531, 1987.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering A new sense for depth of field.IEEE transactions on pattern analysis and machine intelligence, 11(4):523–531, 1987

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Source-reported events for the cited work

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Observation 3821bffb-6c65-4480-8c53-5533ba18c56b · outbound

This paper cites Film: Visual reasoning with a general conditioning layer.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Film: Visual reasoning with a general conditioning layer

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Source-reported events for the cited work

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Observation e2f430cd-b9c5-421d-96a3-4e9871dc7e76 · outbound

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Boosting Monocular Metric Depth Estimation via Bokeh Rendering Introducing more physics into varia- tional depth–from–defocus

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Source-reported events for the cited work

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Observation 3a69dba7-439c-4690-a7a2-be38e4e4df0f · outbound

This paper cites Sharpdepth: Sharpen- ing metric depth predictions using diffusion distillation.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Sharpdepth: Sharpen- ing metric depth predictions using diffusion distillation

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Source-reported events for the cited work

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Observation 0bd99c1c-09a1-4313-ae20-b8e5112243cb · outbound

This paper cites idisc: Internal discretization for monocular depth estimation.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering idisc: Internal discretization for monocular depth estimation

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Source-reported events for the cited work

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Observation d76851af-4320-4f85-8092-fb8ef1199724 · outbound

This paper cites Unidepth: Universal monocular metric depth estimation.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Unidepth: Universal monocular metric depth estimation

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Source-reported events for the cited work

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Observation 51e1dc52-bc93-46f3-b5cd-500f3a1bdaf8 · outbound

This paper cites UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler

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Source-reported events for the cited work

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Observation c01f9135-21ec-4bec-b4c5-e0b73448755a · outbound

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

Boosting Monocular Metric Depth Estimation via Bokeh Rendering SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

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Source-reported events for the cited work

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Observation 1c854c62-b7c2-44b9-bae1-dadeda601125 · outbound

This paper cites A lens and aperture camera model for synthetic image generation.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering A lens and aperture camera model for synthetic image generation

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Source-reported events for the cited work

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Observation a735888e-4cff-4b85-a84f-179d171942e6 · outbound

This paper cites Bggan: Bokeh- glass generative adversarial network for rendering realistic 11 bokeh.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Bggan: Bokeh- glass generative adversarial network for rendering realistic 11 bokeh

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Source-reported events for the cited work

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Observation 639513db-7f9d-489c-b263-7d51d6de89b4 · outbound

This paper cites Camedit: Continuous camera parameter control for photorealistic image editing.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Camedit: Continuous camera parameter control for photorealistic image editing

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Source-reported events for the cited work

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Observation 2a004bf6-2756-4b98-bc06-b07b6b0230a0 · outbound

This paper cites A variational approach to recovering depth from defocused images.IEEE transactions on pattern analysis and machine intelligence, 19(10):1158–1164, 2002.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering A variational approach to recovering depth from defocused images.IEEE transactions on pattern analysis and machine intelligence, 19(10):1158–1164, 2002

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Source-reported events for the cited work

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Observation 96ca1a42-9774-447a-8f56-cec70e0aee8f · outbound

This paper cites an unresolved cited work.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Unresolved cited work

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Source-reported events for the cited work

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Observation c9cfd916-8674-43ba-879a-7e411f0791bb · outbound

This paper cites Vi- sion transformers for dense prediction.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Vi- sion transformers for dense prediction

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Source-reported events for the cited work

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Observation 77512f24-d70c-4c67-a83a-f5de7b24f563 · outbound

This paper cites Hypersim: A photorealistic synthetic dataset for holistic indoor scene understanding.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Hypersim: A photorealistic synthetic dataset for holistic indoor scene understanding

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00e2864d-521f-4aa6-9cad-b2d689a8ac3c · outbound

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

Boosting Monocular Metric Depth Estimation via Bokeh Rendering High-resolution image synthesis with latent diffusion models

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Source-reported events for the cited work

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Observation a164c4ac-c6a6-48f2-870a-0fb0aff5e339 · outbound

This paper cites Make3d: Learning 3d scene structure from a single still image.IEEE transactions on pattern analysis and machine intelligence, 31(5):824–840, 2008.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Make3d: Learning 3d scene structure from a single still image.IEEE transactions on pattern analysis and machine intelligence, 31(5):824–840, 2008

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Observation 7650318c-49d0-4016-bcfb-09cad8642f78 · outbound

This paper cites High-resolution stereo datasets with subpixel-accurate ground truth.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering High-resolution stereo datasets with subpixel-accurate ground truth

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Source-reported events for the cited work

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Observation 7c0f1d6c-c40c-43f7-8c1d-4c6a406d7567 · outbound

This paper cites Depth from defocus vs.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Depth from defocus vs

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Source-reported events for the cited work

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Observation c137e6cb-e28d-43a5-b3e6-f3d707bdfeee · outbound

This paper cites A multi-view stereo benchmark with high- resolution images and multi-camera videos.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering A multi-view stereo benchmark with high- resolution images and multi-camera videos

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63e9acc6-f87e-44d0-9cb9-d0b6d57dbe5f · outbound

This paper cites Bokehlicious: Photorealistic Bokeh Rendering with Controllable Apertures.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Bokehlicious: Photorealistic Bokeh Rendering with Controllable Apertures

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86f7ce79-ae64-45e3-9d33-39521dd14260 · outbound

This paper cites an unresolved cited work.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Unresolved cited work

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6df38f77-d251-49b5-b5d6-b5f197f9eb01 · outbound

This paper cites Fully self- supervised depth estimation from defocus clue.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Fully self- supervised depth estimation from defocus clue

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Unavailable: canonical work link unavailable.

Observation 68d2490b-8696-458b-8d81-9d90d37c061c · outbound

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

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Indoor segmentation and support inference from rgbd images

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d93a131-d528-4a1d-a37b-48d735047129 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Deep unsupervised learning using nonequilibrium thermodynamics

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Unavailable: canonical work link unavailable.

Observation 9c9353dd-a5e7-41b5-bca3-82b86bf94e75 · outbound

This paper cites Visual reasoning with multi-hop feature modulation.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Visual reasoning with multi-hop feature modulation

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f7cdb97-7e10-4407-ae2e-178be8544e91 · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 568: 127063, 2024.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 568: 127063, 2024

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94196659-0c6d-490d-8a35-10627ca3080b · outbound

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Boosting Monocular Metric Depth Estimation via Bokeh Rendering Depth from defocus: A spatial domain approach.International Journal of computer vision, 13(3):271–294, 1994

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc5572d8-6f1c-465c-b4b2-833f5c2f78f0 · outbound

This paper cites Depth from focus with your mobile phone.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Depth from focus with your mobile phone

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4928b50-f262-40fa-afb0-831c72b23f52 · outbound

This paper cites Depth from defocus in the wild.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Depth from defocus in the wild

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Unavailable: canonical work link unavailable.

Observation 5ee7f1aa-1ce5-4b5a-9e58-05b029c49364 · outbound

This paper cites Layered light field reconstruction for de- focus blur.ACM Transactions on Graphics (TOG), 34(2): 1–12, 2015.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Layered light field reconstruction for de- focus blur.ACM Transactions on Graphics (TOG), 34(2): 1–12, 2015

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Observation d42cf81e-dbf4-4fc3-8a15-2cc01b02ef1c · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Attention is all you need.Advances in neural information processing systems, 30, 2017

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Observation 2f531b32-551d-42e4-bae0-86ebaf748257 · outbound

This paper cites Synthetic depth-of-field with a single-camera mobile phone.ACM Transactions on Graphics (ToG), 37(4):1–13,.

Boosting Monocular Metric Depth Estimation via Bokeh Rendering Synthetic depth-of-field with a single-camera mobile phone.ACM Transactions on Graphics (ToG), 37(4):1–13,

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