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Scene Generation

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Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–125 of 309 papers

TitleStatusHype
AI-powered Contextual 3D Environment Generation: A Systematic Review—0
Constructing a 3D Town from a Single Image—0
Conditional Permutation Invariant Flows—0
BerfScene: Bev-conditioned Equivariant Radiance Fields for Infinite 3D Scene Generation—0
Human-Aware 3D Scene Generation with Spatially-constrained Diffusion Models—0
ImmerseGen: Agent-Guided Immersive World Generation with Alpha-Textured Proxies—0
GaussVideoDreamer: 3D Scene Generation with Video Diffusion and Inconsistency-Aware Gaussian Splatting—0
Baking Gaussian Splatting into Diffusion Denoiser for Fast and Scalable Single-stage Image-to-3D Generation and Reconstruction—0
GALA3D: Towards Text-to-3D Complex Scene Generation via Layout-guided Generative Gaussian Splatting—0
Planner3D: LLM-enhanced graph prior meets 3D indoor scene explicit regularization—0
Generating Driving Scenes with Diffusion—0
Generating Scenes with Latent Object Models—0
Agentic 3D Scene Generation with Spatially Contextualized VLMs—0
Generative AI meets 3D: A Survey on Text-to-3D in AIGC Era—0
FurniScene: A Large-scale 3D Room Dataset with Intricate Furnishing Scenes—0
Genesis: Multimodal Driving Scene Generation with Spatio-Temporal and Cross-Modal Consistency—0
Compositional 3D Scene Generation using Locally Conditioned Diffusion—0
HoloDrive: Holistic 2D-3D Multi-Modal Street Scene Generation for Autonomous Driving—0
Functional 3D Scene Synthesis through Human-Scene Optimization—0
CompoNeRF: Text-guided Multi-object Compositional NeRF with Editable 3D Scene Layout—0
From 2D to 3D Cognition: A Brief Survey of General World Models—0
FreeScene: Mixed Graph Diffusion for 3D Scene Synthesis from Free Prompts—0
HashCC: Lightweight Method to Improve the Quality of the Camera-less NeRF Scene Generation—0
CompGS: Unleashing 2D Compositionality for Compositional Text-to-3D via Dynamically Optimizing 3D Gaussians—0
Automatic Scene Generation: State-of-the-Art Techniques, Models, Datasets, Challenges, and Future Prospects—0
Show:102550
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All datasetsGoogleEarthAVDReplicaVizDoomOSMKITTI

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SGAMDepth Error0.58—Unverified
2PersistentNatureDepth Error0.33—Unverified
3SceneDreamerDepth Error0.15—Unverified
4CityDreamerDepth Error0.15—Unverified
5GaussianCityDepth Error0.14—Unverified
#ModelMetricClaimedVerifiedStatus
1pi-GANFID98.76—Unverified
2GRAFFID62.59—Unverified
3GSNFID51.11—Unverified
#ModelMetricClaimedVerifiedStatus
1pi-GANFID166.55—Unverified
2GRAFFID65.37—Unverified
3GSNFID41.75—Unverified
#ModelMetricClaimedVerifiedStatus
1pi-GANFID143.55—Unverified
2GRAFFID47.5—Unverified
3GSNFID37.21—Unverified
#ModelMetricClaimedVerifiedStatus
1IPSMAverage FID321.47—Unverified
2InfiniteGANAverage FID183.14—Unverified
#ModelMetricClaimedVerifiedStatus
1GaussianCityFID29.5—Unverified