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Automatic Scene Inference for 3D Object Compositing

Authors:

Kalyan Sunkavalli,

Michael Sittig,

David ForsythAuthors Info & Claims

ACM Transactions on Graphics (TOG), Volume 33, Issue 3

Article No.: 32, Pages 1 - 15

https://doi.org/10.1145/2602146

Published: 02 June 2014 Publication History

Abstract

We present a user-friendly image editing system that supports a drag-and-drop object insertion (where the user merely drags objects into the image, and the system automatically places them in 3D and relights them appropriately), postprocess illumination editing, and depth-of-field manipulation. Underlying our system is a fully automatic technique for recovering a comprehensive 3D scene model (geometry, illumination, diffuse albedo, and camera parameters) from a single, low dynamic range photograph. This is made possible by two novel contributions: an illumination inference algorithm that recovers a full lighting model of the scene (including light sources that are not directly visible in the photograph), and a depth estimation algorithm that combines data-driven depth transfer with geometric reasoning about the scene layout. A user study shows that our system produces perceptually convincing results, and achieves the same level of realism as techniques that require significant user interaction.

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Cited By

Careaga CAksoy Y(2024)Colorful Diffuse Intrinsic Image Decomposition in the WildACM Transactions on Graphics10.1145/368798443:6(1-12)Online publication date: 19-Nov-2024
https://doi.org/10.1145/3687984
Hong HWang SHuang ZWu QLiu JCai JKankanhalli MPrabhakaran BBoll SSubramanian RZheng LSingh VCesar PXie LXu D(2024)Navigating Beyond Instructions: Vision-and-Language Navigation in Obstructed EnvironmentsProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3681640(7639-7648)Online publication date: 28-Oct-2024
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Yu ZZhou JBao ZFu GHe WLiang CXiao CCai JKankanhalli MPrabhakaran BBoll SSubramanian RZheng LSingh VCesar PXie LXu D(2024)CFDiffusion: Controllable Foreground Relighting in Image Compositing via Diffusion ModelProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3681283(3647-3656)Online publication date: 28-Oct-2024
https://dl.acm.org/doi/10.1145/3664647.3681283
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Index Terms

Automatic Scene Inference for 3D Object Compositing
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision tasks
        Scene understanding
  2. Computer graphics

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Information

Published In

cover image ACM Transactions on Graphics

ACM Transactions on Graphics Volume 33, Issue 3

May 2014

145 pages

ISSN:0730-0301

EISSN:1557-7368

DOI:10.1145/2631978

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Copyright © 2014 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Publication History

Published: 02 June 2014

Accepted: 01 February 2014

Revised: 01 February 2014

Received: 01 July 2013

Published in TOG Volume 33, Issue 3

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Cited By

Careaga CAksoy Y(2024)Colorful Diffuse Intrinsic Image Decomposition in the WildACM Transactions on Graphics10.1145/368798443:6(1-12)Online publication date: 19-Nov-2024
https://doi.org/10.1145/3687984
Hong HWang SHuang ZWu QLiu JCai JKankanhalli MPrabhakaran BBoll SSubramanian RZheng LSingh VCesar PXie LXu D(2024)Navigating Beyond Instructions: Vision-and-Language Navigation in Obstructed EnvironmentsProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3681640(7639-7648)Online publication date: 28-Oct-2024
https://dl.acm.org/doi/10.1145/3664647.3681640
Yu ZZhou JBao ZFu GHe WLiang CXiao CCai JKankanhalli MPrabhakaran BBoll SSubramanian RZheng LSingh VCesar PXie LXu D(2024)CFDiffusion: Controllable Foreground Relighting in Image Compositing via Diffusion ModelProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3681283(3647-3656)Online publication date: 28-Oct-2024
https://dl.acm.org/doi/10.1145/3664647.3681283
Zhou HMa RZhang LGao LMahdavi-Amiri AZhang H(2024)SAC-GAN: Structure-Aware Image CompositionIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2022.322668930:7(3151-3165)Online publication date: Jul-2024
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Arampatzakis VPavlidis GMitianoudis NPapamarkos N(2024)Monocular Depth Estimation: A Thorough ReviewIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2023.333094446:4(2396-2414)Online publication date: Apr-2024
https://doi.org/10.1109/TPAMI.2023.3330944
Wu JWang L(2024)Panoramic Ray Tracing for Interactive Mixed Reality Rendering Based on 360° RGBD VideoIEEE Computer Graphics and Applications10.1109/MCG.2023.332738344:1(62-75)Online publication date: 1-Jan-2024
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Zhang HRen QDong LTsang K(2024)FastPlane: A Fully Convolutional Network for Real-time 3D Plane Segmentation2024 IEEE International Conference on Consumer Electronics (ICCE)10.1109/ICCE59016.2024.10444446(1-6)Online publication date: 6-Jan-2024
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Liu QYou JWang JTao XZhang BNiu L(2024)Shadow Generation for Composite Image Using Diffusion Model2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR52733.2024.00776(8121-8130)Online publication date: 16-Jun-2024
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Phongthawee PChinchuthakun WSinsunthithet NJampani VRaj AKhungurn PSuwajanakorn S(2024)DiffusionLight: Light Probes for Free by Painting a Chrome Ball2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR52733.2024.00018(98-108)Online publication date: 16-Jun-2024
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