Jul 2026· Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference Courses· pp. 1-5· 0 citations· 6 references
Abstract
This course explores how Universal Scene Description (USD) is being adopted in production as a foundation for modular assets, layered scene composition, artist-facing debugging, controlled edit flow, asset resolution, and rendering. Bringing together production examples from Pixar, Disney Animation, Autodesk, and LAIKA, the course emphasizes practical decisions and trade-offs rather than a single prescriptive pipeline. Beginning with USD foundations and the LIVERPS composition model, instructors explain how modern pipelines move from ad hoc and structured workflows toward modular, continuously composed systems. Subsequent sections focus on contextual debugging tools that make composition behavior understandable for artists, template-driven asset construction and deterministic resolution, rule-based edit forwarding and composition analyzers, and the redesign of asset structures for active production. Attendees will leave with a mental model for how USD structure affects scene behavior, how authored opinions resolve across layers, and how production teams can build, validate, and troubleshoot scalable USD assets and scenes.
Across scene-level 3D object detection, object pose estimation, and scene reconstruction, Lucida improves mAP over Boxer by 69% on R2S-Scene, raises ADD-SB@0.05 from 57.8% to 83.4% on CA-1M, and increases scene F-Score from 0.794 for SAM3D to 0.924.
Ming-Han Qin, Yuang Wang, Xiuyu Yang et al.· 3 citations· ⚡2
Frontier coding agents can now write and execute code that authors 3D environments, but whether they reliably understand 3D structure and precisely control scene state remains unclear. The generated 3D scene is a persistent, executable artifact: a convincing render can hide incorrect spatial relations, intersecting obj...
Xiao-Kang Ye, Siddhant Hitesh Mantri, Zi-Meng Chen et al.· 0 citations
ReFigBench, a benchmark and evaluation framework built on 1,000 real overview figures retrieved from arXiv papers with full provenance, is introduced, exposing the tension between fidelity and editability as the central challenge for practical multimodal document agents.
Li-Yang Fan, Chi Wei, Yi-Tai Li et al.· 0 citations
SPL4SH contributes a grounded framework for selecting, combining, and evaluating independent generative components as XR-ready synthetic human assets and shows that modular 4D human generation is technically feasible.
David Ohara de Souza Cardoso, Willams de Lima Costa, Pedro Azevedo Abrantes de Oliveira et al.· Journal of the Brazilian Com...· 0 citations
Structured-language models such as SceneScript reconstruct a scene as a short program of parametric commands, an inherently editable and semantically explicit representation. We ask three questions that stand between such models and their most compelling application, automated ingestion of existing buildings into BIM t...
P. Naikade, Thomas B. Moeslund, Andreas Møgelmose· 0 citations
Text2Sim is presented, a simulation-specialized agentic pipeline that converts a text-only request into an executable, editable dynamic case and achieves higher scores than all four state-of-the-art baselines on both metrics.
Xiao-Yu Xiong, T. Wang, Yi-Ling Qiao et al.· 0 citations
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