Scene Generation
62 papers with code • 5 benchmarks • 8 datasets
Benchmarks
These leaderboards are used to track progress in Scene Generation
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Libraries
Use these libraries to find Scene Generation models and implementations
Replica
VizDoom
AVD
CoDraw
OSM
GoogleEarth
InstaOrder
3D FRONT HUMAN
Most implemented papers
LayoutGAN: Generating Graphic Layouts with Wireframe Discriminator
JiananLi2016/LayoutGAN-Tensorflow
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ICLR 2019
Layouts are important for graphic design and scene generation.
SPSG: Self-Supervised Photometric Scene Generation from RGB-D Scans
We present SPSG, a novel approach to generate high-quality, colored 3D models of scenes from RGB-D scan observations by learning to infer unobserved scene geometry and color in a self-supervised fashion.
Future Urban Scenes Generation Through Vehicles Synthesis
alexj94/future_urban_scene_generation
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In this work we propose a deep learning pipeline to predict the visual future appearance of an urban scene.
RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces
hyenal/relate
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NeurIPS 2020
We present RELATE, a model that learns to generate physically plausible scenes and videos of multiple interacting objects.
GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis
autonomousvision/graf
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NeurIPS 2020
In contrast to voxel-based representations, radiance fields are not confined to a coarse discretization of the 3D space, yet allow for disentangling camera and scene properties while degrading gracefully in the presence of reconstruction ambiguity.
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.
Static and Animated 3D Scene Generation from Free-form Text Descriptions
As the choice of words and syntax vary while preparing a textual description, it is challenging for the system to reliably produce a consistently desirable output from different forms of language input.
RetrievalFuse: Neural 3D Scene Reconstruction with a Database
nihalsid/retrieval-fuse
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ICCV 2021
3D reconstruction of large scenes is a challenging problem due to the high-complexity nature of the solution space, in particular for generative neural networks.
Unconstrained Scene Generation with Locally Conditioned Radiance Fields
In this paper, we introduce Generative Scene Networks (GSN), which learns to decompose scenes into a collection of many local radiance fields that can be rendered from a free moving camera.
InfinityGAN: Towards Infinite-Pixel Image Synthesis
hubert0527/infinityGAN
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ICLR 2022
We present a novel framework, InfinityGAN, for arbitrary-sized image generation.
