Shadertoy Hackathon

Quilez, Inigo; Jeremias, Pol

doi:10.1145/2619195.2656312

Cited by 4 publications

(5 citation statements)

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“…Later in the year 1999, Sun Microsystems hosted a hackathon dedicated to the digital assistant Palm-V. By now, all kinds of hac [kingmar]athons tap into the innovation capacity of collaborative programming and prototyping (see e.g. Goggins et al, 2014;Kaltenbrunner and Echtler, 2014;Quilez and Pol, 2014).…”

Section: Introductionmentioning

confidence: 99%

Hacking events: Project development practices and technology use at hackathons

Richterich

2017

Convergence: The International Journal of Research into New Med

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Hackathons are techno-creative events during which participants get together in a physical location. They may be hosted by civic communities, corporations or public institutions. Working individually or in teams, usually for several days, participants develop projects such as hardware or software prototypes. Based on a digital ethnography of two events in the Netherlands and Denmark, this article investigates project development practices at hackathons. In particular, it analyses how participants organized their project work and which technologies were used in support of their creative endeavours. Hackathons are increasingly competitive rather than collaborative events, involving time pressure, inducements such as prizes, and requiring efficient skills utilization. I argue that this facilitates the following tendencies: Firstly, strategic effort is put into final presentations. Projects need to be convincingly presented, and persuasively pitching an idea becomes crucial. Secondly, there is only limited time for personal learning, since participants’ existing skills need to be efficiently applied if a team wants to stay competitive. This encourages division of labour within groups: a tendency which seems especially problematic given that IT skills biases are often expressed in terms of gender. Thirdly, participants are more inclined to use technologies that are proprietary but appear ‘open enough’. In light of this observation and by drawing on the concept of technology as resource and opportunity, I discuss the techno-political implications of utilized technologies. With this analysis, I aim at contributing to the critical debate on hackathons as productive but likewise ideologically significant fields of ‘hacking cultures’.

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Section: Introductionmentioning

confidence: 99%

Hacking events: Project development practices and technology use at hackathons

Richterich

2017

Convergence: The International Journal of Research into New Med

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“…Any type of visual data is fair game, but it is especially worth looking at domains where programmatic representations have already proven useful. One such example is shader programming, a domain for which large repositories of data exist [Ini]. Character animation & behavior modeling could also warrant investigation, as some crowd simulation software already uses hand‐authored animation procedures [Mas].…”

Section: Discussionmentioning

confidence: 99%

“…Various types of splines have enabled higher‐fidelity modeling of smooth, curved surfaces [dB78]. Implicit surface representations have enabled beautiful scenery to be encoded in compact algebraic expressions [Ini] and have proven useful for reconstructing 3D geometry from image observations [NZIS13, MST*20].…”

Section: Introductionmentioning

confidence: 99%

Neurosymbolic Models for Computer Graphics

Ritchie

Guerrero

Jones

et al. 2023

Computer Graphics Forum

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Procedural models (i.e. symbolic programs that output visual data) are a historically‐popular method for representing graphics content: vegetation, buildings, textures, etc. They offer many advantages: interpretable design parameters, stochastic variations, high‐quality outputs, compact representation, and more. But they also have some limitations, such as the difficulty of authoring a procedural model from scratch. More recently, AI‐based methods, and especially neural networks, have become popular for creating graphic content. These techniques allow users to directly specify desired properties of the artifact they want to create (via examples, constraints, or objectives), while a search, optimization, or learning algorithm takes care of the details. However, this ease of use comes at a cost, as it's often hard to interpret or manipulate these representations. In this state‐of‐the‐art report, we summarize research on neurosymbolic models in computer graphics: methods that combine the strengths of both AI and symbolic programs to represent, generate, and manipulate visual data. We survey recent work applying these techniques to represent 2D shapes, 3D shapes, and materials & textures. Along the way, we situate each prior work in a unified design space for neurosymbolic models, which helps reveal underexplored areas and opportunities for future research.

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“…More specifically, keeping the base shape Ψ b (v i ) frozen, we parameterize the SDF values (inner is positive) of editable parts using MLP Ψ e (v i ) for each vertex v i within the tetrahedral grid. Subsequently, a soft geometry union (Quilez and Jeremias 2018) is performed between Ψ b (v i ) and Ψ e (v i ), resulting in Ψ u (v i ) for a smooth junction:…”

Section: Geometry Editingmentioning

confidence: 99%

FocalDreamer: Text-Driven 3D Editing via Focal-Fusion Assembly

Li,

Dou,

Shi

et al. 2024

AAAI

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While text-3D editing has made significant strides in leveraging score distillation sampling, emerging approaches still fall short in delivering separable, precise and consistent outcomes that are vital to content creation. In response, we introduce FocalDreamer, a framework that merges base shape with editable parts according to text prompts for fine-grained editing within desired regions. Specifically, equipped with geometry union and dual-path rendering, FocalDreamer assembles independent 3D parts into a complete object, tailored for convenient instance reuse and part-wise control. We propose geometric focal loss and style consistency regularization, which encourage focal fusion and congruent overall appearance. Furthermore, FocalDreamer generates high-fidelity geometry and PBR textures which are compatible with widely-used graphics engines. Extensive experiments have highlighted the superior editing capabilities of FocalDreamer in both quantitative and qualitative evaluations.

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Shadertoy Hackathon

Cited by 4 publications

References 0 publications

Hacking events: Project development practices and technology use at hackathons

Hacking events: Project development practices and technology use at hackathons

Neurosymbolic Models for Computer Graphics

FocalDreamer: Text-Driven 3D Editing via Focal-Fusion Assembly

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