الباحثون

Ken Deng

المنشورات 2

نسخة أولية وصول مفتوح

DistScene: Object-to-Scene Distillation for 3D Scene Generation

Kunming Luo, Hongyu Yan, Ken Deng وآخرون · 2026

We present DistScene, a framework for single-image compositional 3D scene generation by jointly modeling the environment and individual objects. Unlike existing methods that represent scenes primarily as collections of objects, we model the environment as an explicit scene component to provide geometric context for obj …

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SPOON: Towards Coherent Compositional 3D Scene Generation from Uncalibrated Multi-view Images

Guibiao Liao, Mochu Xiang, Heng Li وآخرون · 2026

Compositional 3D scene generation aims to recover complete 3D object shapes and their spatial arrangement from visual observations. Recent image-conditioned 3D generators provide strong priors for producing high-quality object geometry, making the generation of complex scenes increasingly practical. A central challenge …

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