Indoor Scene Synthesis
5 papers with code • 0 benchmarks • 1 datasets
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Most implemented papers
Human-centric Indoor Scene Synthesis Using Stochastic Grammar
We present a human-centric method to sample and synthesize 3D room layouts and 2D images thereof, to obtain large-scale 2D/3D image data with perfect per-pixel ground truth.
Fast and Flexible Indoor Scene Synthesis via Deep Convolutional Generative Models
We present a new, fast and flexible pipeline for indoor scene synthesis that is based on deep convolutional generative models.
End-to-End Optimization of Scene Layout
Experiments suggest that our model achieves higher accuracy and diversity in conditional scene synthesis and allows exemplar-based scene generation from various input forms.
ATISS: Autoregressive Transformers for Indoor Scene Synthesis
The ability to synthesize realistic and diverse indoor furniture layouts automatically or based on partial input, unlocks many applications, from better interactive 3D tools to data synthesis for training and simulation.
LUMINOUS: Indoor Scene Generation for Embodied AI Challenges
However, current simulators for Embodied AI (EAI) challenges only provide simulated indoor scenes with a limited number of layouts.