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Scene Generation

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Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 226–250 of 309 papers

TitleStatusHype
3D-SceneDreamer: Text-Driven 3D-Consistent Scene Generation—0
Are Dense Labels Always Necessary for 3D Object Detection from Point Cloud?Code0
Disentangled 3D Scene Generation with Layout Learning—0
GALA3D: Towards Text-to-3D Complex Scene Generation via Layout-guided Generative Gaussian Splatting—0
Open-Universe Indoor Scene Generation using LLM Program Synthesis and Uncurated Object Databases—0
Synthetic data enables faster annotation and robust segmentation for multi-object grasping in clutter—0
FurniScene: A Large-scale 3D Room Dataset with Intricate Furnishing Scenes—0
Prompt3D: Random Prompt Assisted Weakly-Supervised 3D Object DetectionCode0
Text2Immersion: Generative Immersive Scene with 3D Gaussians—0
DreamDrone: Text-to-Image Diffusion Models are Zero-shot Perpetual View Generators—0
WonderJourney: Going from Anywhere to Everywhere—0
BerfScene: Bev-conditioned Equivariant Radiance Fields for Infinite 3D Scene Generation—0
A Unified Approach for Text- and Image-guided 4D Scene Generation—0
LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes—0
3D-GPT: Procedural 3D Modeling with Large Language Models—0
Ctrl-Room: Controllable Text-to-3D Room Meshes Generation with Layout Constraints—0
LROC-PANGU-GAN: Closing the Simulation Gap in Learning Crater Segmentation with Planetary Simulators—0
LAW-Diffusion: Complex Scene Generation by Diffusion with Layouts—0
On the Generation of a Synthetic Event-Based Vision Dataset for Navigation and LandingCode0
Grounded Object Centric Learning—0
UniSG^GA: A 3D scenegraph powered by Geometric Algebra unifying geometry, behavior and GNNs towards generative AI—0
DORSal: Diffusion for Object-centric Representations of Scenes et al—0
Paste, Inpaint and Harmonize via Denoising: Subject-Driven Image Editing with Pre-Trained Diffusion Model—0
Slot-VAE: Object-Centric Scene Generation with Slot Attention—0
Randomized 3D Scene Generation for Generalizable Self-Supervised Pre-Training—0
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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