atlas

Research map / 3D vision / 3D generation

Learning Object Context for Novel-View Scene Layout Generation

CVPR 2022 · 3D vision › 3D generation · approach: Generative indoor scene synthesis · 6 citations (OpenAlex)

Check your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add the Object Context Transformation (OCT) module (ablation)Novel-view scene layout generation model · RealEstate10KNLL: 1.71 -> 1.53Helped
Add the Object Context Transformation (OCT) module (ablation)Novel-view scene layout generation model · RealEstate10KFID: 109 -> 85Helped
Add camera transformation to the OCT module (ablation)Novel-view scene layout generation model · RealEstate10KNLL: 1.65 -> 1.53Helped
Add camera transformation to the OCT module (ablation)Novel-view scene layout generation model · RealEstate10KVSC: 0.089 -> 0.059Helped
Add OrderNet for object occlusion ordering (ablation)Novel-view scene layout generation model · RealEstate10KVSC: 0.082 -> 0.059Helped
Add refinement blocks (ablation)Novel-view scene layout generation model · RealEstate10KFID: 93 -> 85Helped
Add adversarial loss (ablation)Novel-view scene layout generation model · RealEstate10KFID: 91 -> 85Helped
Add OLC to LayoutGANLayoutGAN · RealEstate10KNLL: 2.05 -> 1.96Helped
Use object-context modeling rather than the GVSNet baselineNovel-view scene layout generation · RealEstate10KNLL: 1.69 -> 1.53Helped

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy