Sign inGet started
Paper · arXiv

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

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 object placement. Specifically, we introduce Scene-Frame Generation, which jointly generates separate environment and object components in a shared coordinate frame, allowing their geometry and relative placement to be learned together. Then we introduce Object-Centric Refinement to refine each object in a local frame with scene context. Finally, we develop Object-to-Scene Dist...

AuthorsKunming Luo, Hongyu Yan, Ken Deng et al.
Primary categorycs.CV
Published3 October 2026
Last updated at source3 October 2026
cs.CV
Embed this entry
<iframe src="https://silytics.si/embed/item/c7b9cb8c-bf30-4de9-bf70-a5da904d4aef" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 2 days

0 now. Counts as reported by the source, snapshotted daily by Silytics.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.