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
Latest papers
Language Conditioned Traffic Generation
Ariostgx/lctgen
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In this work, we turn to language as a source of supervision for dynamic traffic scene generation.
DiffInDScene: Diffusion-based High-Quality 3D Indoor Scene Generation
In addition to the scene generation, the final part of DiffInDScene can be used as a post-processing module to refine the 3D reconstruction results from multi-view stereo.
CommonScenes: Generating Commonsense 3D Indoor Scenes with Scene Graph Diffusion
ymxlzgy/commonscenes
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NeurIPS 2023
The generated scenes can be manipulated by editing the input scene graph and sampling the noise in the diffusion model.
Text2NeRF: Text-Driven 3D Scene Generation with Neural Radiance Fields
Extensive experiments demonstrate that our Text2NeRF outperforms existing methods in producing photo-realistic, multi-view consistent, and diverse 3D scenes from a variety of natural language prompts.
Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction
3D-aware image synthesis encompasses a variety of tasks, such as scene generation and novel view synthesis from images.
LiDAR-Based 3D Object Detection via Hybrid 2D Semantic Scene Generation
yanghtr/ssgnet
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Bird's-Eye View (BEV) features are popular intermediate scene representations shared by the 3D backbone and the detector head in LiDAR-based object detectors.
Persistent Nature: A Generative Model of Unbounded 3D Worlds
google-research/google-research
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CVPR 2023
Despite increasingly realistic image quality, recent 3D image generative models often operate on 3D volumes of fixed extent with limited camera motions.
MeshDiffusion: Score-based Generative 3D Mesh Modeling
We consider the task of generating realistic 3D shapes, which is useful for a variety of applications such as automatic scene generation and physical simulation.
SceneDreamer: Unbounded 3D Scene Generation from 2D Image Collections
frozenburning/scenedreamer
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Our approach begins with an efficient bird's-eye-view (BEV) representation generated from simplex noise, which includes a height field for surface elevation and a semantic field for detailed scene semantics.
FSID: Fully Synthetic Image Denoising via Procedural Scene Generation
To address this, we have developed a procedural synthetic data generation pipeline and dataset tailored to low-level vision tasks.
