Interactive Authoring of Terrain using Diffusion Models

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dc.contributor.authorLochner, Joshuaen_US
dc.contributor.authorGain, Jamesen_US
dc.contributor.authorPerche, Simonen_US
dc.contributor.authorPeytavie, Adrienen_US
dc.contributor.authorGalin, Ericen_US
dc.contributor.authorGuérin, Ericen_US
dc.contributor.editorChaine, Raphaëlleen_US
dc.contributor.editorDeng, Zhigangen_US
dc.contributor.editorKim, Min H.en_US
dc.date.accessioned2023-10-09T07:34:13Z
dc.date.available2023-10-09T07:34:13Z
dc.date.issued2023
dc.description.abstractGenerating heightfield terrains is a necessary precursor to the depiction of computer-generated natural scenes in a variety of applications. Authoring such terrains is made challenging by the need for interactive feedback, effective user control, and perceptually realistic output encompassing a range of landforms.We address these challenges by developing a terrain-authoring framework underpinned by an adaptation of diffusion models for conditional image synthesis, trained on real-world elevation data. This framework supports automated cleaning of the training set; authoring control through style selection and feature sketches; the ability to import and freely edit pre-existing terrains, and resolution amplification up to the limits of the source data. Our framework improves on previous machine-learning approaches by: expanding landform variety beyond mountainous terrain to encompass cliffs, canyons, and plains; providing a better balance between terseness and specificity in user control, and improving the fidelity of global terrain structure and perceptual realism. This is demonstrated through drainage simulations and a user study testing the perceived realism for different classes of terrain. The full source code, blender add-on, and pretrained models are available.en_US
dc.description.number7
dc.description.sectionheadersModeling by Learning
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume42
dc.identifier.doi10.1111/cgf.14941
dc.identifier.issn1467-8659
dc.identifier.pages13 pages
dc.identifier.urihttps://doi.org/10.1111/cgf.14941
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf14941
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.titleInteractive Authoring of Terrain using Diffusion Modelsen_US
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