3D Scene / Environment Generation¶
3D Generation
Open Source¶
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DreamX-World 1.0 Discovered by AI
2026
A general-purpose interactive text/image-to-video world model for controllable long-horizon 3D scene generation. It supports camera navigation, revisits to previously observed regions, and promptable events across photorealistic, game-style, and stylized domains.
interactivescene-generationworld-model -
Gen3R: 3D Scene Generation Meets Feed-Forward Reconstruction Discovered by AI
2026
A method that bridges foundational reconstruction models and video diffusion models to generate both RGB videos and corresponding 3D geometry (including camera trajectories) for scene-level 3D generation.
3d-scenereconstructionvideo-diffusion -
Lyra 2.0 Discovered by AI
2026
Developed by NVIDIA, Lyra 2.0 is a framework for generating persistent, explorable 3D worlds at scale from a single image or video walkthrough. It addresses spatial forgetting and temporal drifting over long camera trajectories to produce 3D-consistent environments ready for real-time rendering.
3d-sceneconsistencyvideo-to-3dworld-model -
minWM Discovered by AI
2026
A full-stack open-source framework and tutorial designed for real-time interactive video world models. It provides a complete pipeline spanning data construction, controllable fine-tuning, autoregressive training, few-step distillation, and streaming inference.
interactivereal-timeworld-model -
OpenWorldLib: A Unified Codebase and Definition of Advanced World Models Discovered by AI
2026
A unified world model inference framework that standardizes tasks such as interactive video generation, 3D scene generation, multimodal reasoning, and vision-language-action (VLA) models.
3d-sceneframeworkworld-model -
PixWorld: Unifying 3D Scene Generation and Reconstruction in Pixel Space Discovered by AI
2026
A unified framework for 3D scene generation and reconstruction operating directly in pixel space. By avoiding the information loss of latent space encoding, it achieves high-fidelity 3D scene synthesis and reconstruction without requiring a pretrained VAE.
environmentpixel-spacereconstructionscene -
SAGE Discovered by AI
2026
An agentic framework by NVIDIA that automatically generates simulation-ready, realistic, and physically stable 3D environments from arbitrary user prompts. It couples layout and object generators with critics evaluating semantic plausibility, visual realism, and physical stability.
agenticembodied-ailayoutscene-generation -
SceneAssistant: A Visual Feedback Agent for Open-Vocabulary 3D Scene Generation Discovered by AI
2026
A vision-feedback-driven agentic framework designed for open-vocabulary 3D scene synthesis, utilizing a suite of Action APIs to iteratively refine scene layouts.
3d-generationagenticopen-vocabularyscene-generation -
SceneFoundry: Generating Interactive Infinite 3D Worlds Discovered by AI
2026
A language-guided diffusion framework that generates apartment-scale 3D environments with functionally articulated furniture and semantically diverse layouts. It uses an LLM for floor plan generation and diffusion-based placement to ensure physical usability and navigability.
embodied-aienvironmentinteractivescene -
SynCity 3000 Discovered by AI
2026
A framework for generating globally coherent 3D scenes with fine-grained layout control by adapting image-to-3D generators as convolutional operators. It addresses the lack of scene-scale training data by fine-tuning on a novel synthetic data engine.
3d-diffusionscene-scalesynthetic-data -
WorldClaw: Agentic 3D Open-World Generation at Scale Discovered by AI
2026
An agentic coarse-to-fine framework for open-world 3D scene generation. It uses planning agents to translate text prompts into structured specifications of regions, terrain, assets, materials, and spatial relations, and then builds a globally coherent 3D scene.
agenticenvironmentopen-worldscene -
WorldFlow3D: Flowing Through 3D Distributions for Unbounded World Generation Discovered by AI
2026
A framework for generating unbounded 3D worlds with full controllability using flow matching to model 3D data distributions, enabling large-scale outdoor and indoor scene synthesis.
3d-generationflow-matchingscene-generationunbounded-world -
BloomScene Discovered by AI
2025
A lightweight structured 3D Gaussian Splatting framework for crossmodal scene generation from text or image inputs. It addresses storage overhead and geometric distortion issues in 3D scene generation by introducing a structured Gaussian representation.
3dgsimage-to-3dscene-generationtext-to-3d -
Bolt3D Discovered by AI
2025
A latent diffusion model designed for fast, feed-forward 3D scene generation that directly samples a 3D scene representation in less than seven seconds on a single GPU. It leverages scalable 2D diffusion network architectures to produce consistent, high-fidelity multi-view Splatter Images that combine into a complete 3D Gaussian scene.
diffusionfast-generationfeed-forwardgaussian-splatting -
FlashWorld Discovered by AI
2025
A fast and high-quality 3D scene generation model that produces 3D scenes from a single image or text prompt in seconds. It uses a cross-mode post-training distillation strategy to transfer high visual fidelity from a multi-view-oriented diffusion model to a 3D-consistent multi-view generative model.
3dgsfast-generationimage-to-3dtext-to-3d -
FreeScene: Mixed Graph Diffusion for 3D Scene Synthesis from Free Prompts Discovered by AI
2025
A user-friendly controllable indoor scene synthesis framework that integrates a vision-language model-based graph designer with a generative Mixed Graph Diffusion Transformer to support free-form user inputs like text, diagrams, and sketches.
3d-scenediffusionindoor-synthesis -
HOLODECK 2.0: Vision-Language-Guided 3D World Generation with Editing Discovered by AI
2025
An advanced vision-language-guided framework for 3D world generation that supports interactive scene editing based on human feedback, enabling the creation of stylistically varied 3D environments.
3d-scenediffusionenvironment -
HunyuanWorld 2.0 (HY-World-2.0)
2025
Tencent Hunyuan's open 3D world generation model that creates explorable, immersive 3D scenes and worlds from text or image prompts.
open-weightsscene-generationworld-model -
Lyra: Generative 3D Scene Reconstruction via Video Diffusion Model Self-Distillation Discovered by AI
2025
A generative framework for 3D and 4D scene reconstruction that distills implicit 3D knowledge from camera-controlled video diffusion models into explicit 3D Gaussian Splatting representations. It supports generating explorable 3D environments from text, single images, or monocular videos.
3d-scenegaussian-splattingvideo-diffusionworld-model -
MAGIC: Multi-scene Automated Gameworlds Generation with Intelligent Connectivity Discovered by AI
2025
A framework for multi-scene automated gameworld generation with intelligent connectivity using large language models, supporting scene planning, composition, and integration with Unity and Blender.
blendergameworldsceneunity -
Matrix-3D: Omnidirectional Explorable 3D World Generation Discovered by AI
2025
A framework that utilizes panoramic representation for wide-coverage omnidirectional explorable 3D world generation, combining conditional video generation and panoramic reconstruction.
3d-scenepanoramaworld-generation -
MMGDreamer: Mixed-Modality Graph for Geometry-Controllable 3D Indoor Scene Generation Discovered by AI
2025
A dual-branch diffusion framework for controllable 3D indoor scene generation that utilizes mixed-modality graphs, visual enhancement, and relation prediction to achieve precise control over object geometry.
3d-scenediffusionindoor-synthesis -
Scene Splatter: Momentum 3D Scene Generation from Single Image with Video Diffusion Model Discovered by AI
2025
A momentum-based paradigm for video diffusion that generates generic 3D scenes from a single image. It addresses the limitations of video length and scene inconsistency in novel-view synthesis by constructing noisy samples from historical frames, enabling stable and high-quality 3D reconstruction.
diffusiongaussian-splattingscene-generationvideo-diffusion -
SceneGen Discovered by AI
2025
A feedforward framework for generating multiple 3D assets from a single scene image and its corresponding object masks. It simultaneously produces geometry, texture, and relative spatial positions for multiple objects without requiring optimization or asset retrieval.
feedforwardimage-to-3dmulti-objectscene-generation -
ScenePainter: Semantically Consistent Perpetual 3D Scene Generation with Concept Relation Alignment Discovered by AI
2025
A framework for perpetual 3D scene generation that produces long-range, coherent 3D view sequences from a single image. It addresses semantic drift by aligning the outpainting model's scene-specific priors with concept relations represented in a scene concept graph.
outpaintingperpetual-scenescene-generationscene-graph -
Scenethesis: A Language and Vision Agentic Framework for 3D Scene Generation Discovered by AI
2025
A training-free agentic framework that couples LLM-based scene planning with vision-guided layout refinement to generate diverse, realistic, and physically plausible 3D interactive scenes. It uses an optimization module to enforce accurate pose alignment and physical stability.
agentenvironmentlayoutscene -
SpatialGen Discovered by AI
2025
A layout-guided 3D indoor scene generation framework that leverages a multi-view, multi-modal diffusion model to synthesize photo-realistic 3D scenes from text or image prompts.
diffusionindoor-scenelayout-guided -
2025
Generates large, coherent 3D scenes by progressively growing and extending generated geometry beyond the initially observed region.
3d-scenediffusionscene-generation -
3D-SceneDreamer Discovered by AI
2024
A text-driven 3D-consistent scene generation framework that addresses error accumulation in geometry and appearance by leveraging generative models to create consistent 3D environments.
consistencyscene-generationtext-to-3d -
BlockFusion: Expandable 3D Scene Generation using Latent Tri-plane Extrapolation Discovered by AI
2024
A diffusion-based model that generates 3D scenes as unit blocks and seamlessly incorporates new blocks to extend the scene infinitely. It utilizes a latent tri-plane representation and an extrapolation mechanism to ensure geometric and stylistic consistency across block boundaries.
diffusioninfinite-worldscene-generationtri-plane -
Director3D Discovered by AI
2024
A text-to-3D generation framework designed for real-world datasets, generating both realistic 3D scenes using 3D Gaussian Splatting and camera trajectories from text prompts.
gaussian-splattingscene-generationtext-to-3d -
DreamScene360 Discovered by AI
2024
A text-to-3D scene generation pipeline that creates immersive 360-degree environments by lifting flat panoramic images into 3D Gaussian Splatting representations with semantic and geometric constraints.
3d-scenegaussian-splattingpanorama -
DreamScene: 3D Gaussian-based Text-to-3D Scene Generation via Formation Pattern Sampling Discovered by AI
2024
A 3D Gaussian Splatting-based text-to-3D scene generation framework that utilizes Formation Pattern Sampling (FPS) and a progressive camera sampling strategy to produce high-quality, consistent, and editable indoor and outdoor environments.
3d-scenegaussian-splattingtext-to-3d -
EchoScene: Indoor Scene Generation via Information Echo over Scene Graph Diffusion Discovered by AI
2024
A generative model for interactive and controllable 3D indoor scene generation based on scene graphs. It uses a dual-branch diffusion model with an information echo scheme to coordinate shape and layout generation under global constraints.
3d-scenediffusion-modelscene-graph -
Frankenstein: Generating Semantic-Compositional 3D Scenes in One Tri-Plane Discovered by AI
2024
A diffusion-based framework that generates semantic-compositional 3D scenes in a single pass. It decodes multiple Signed Distance Fields (SDFs) from a single tri-plane tensor, allowing the simultaneous generation of multiple separated, semantically meaningful shapes that can be individually edited or rearranged.
compositionaldiffusionscene-generationsdf -
InstructScene: Instruction-Driven 3D Indoor Scene Synthesis with Semantic Graph Prior Discovered by AI
2024
A generative framework that synthesizes 3D indoor scenes from natural language instructions by integrating a semantic graph prior and a layout decoder to improve controllability and fidelity.
3d-scenediffusionindoor-synthesis -
MIDI Discovered by AI
2024
A multi-instance diffusion model designed for single-image to compositional 3D scene generation, enabling the simultaneous generation of multiple high-quality 3D objects with accurate spatial relationships.
3d-scenediffusionimage-to-3dmulti-instance -
PhyScene: Physically Interactable 3D Scene Synthesis for Embodied AI Discovered by AI
2024
A guided diffusion model for physically interactable 3D scene synthesis, incorporating collision, layout, and reachability constraints to generate realistic layouts with articulated objects.
3d-generationdiffusion-modelphysics-constraintsscene-generation -
RealmDreamer Discovered by AI
2024
A technique for generating general forward-facing 3D scenes from text descriptions by optimizing a 3D Gaussian Splatting representation using pretrained 2D image-conditional and depth diffusion models.
3dgsinpaintingscene-generationtext-to-3d -
SceneCraft Discovered by AI
2024
A layout-guided 3D scene generation framework that generates complex 3D scenes conditioned on free-form layouts and viewpoints, utilizing a diffusion-based pipeline to ensure spatial consistency and high-quality geometry.
3d-scenediffusionlayout-guided -
SceneDreamer360: Text-Driven 3D-Consistent Scene Generation with Panoramic Gaussian Splatting Discovered by AI
2024
A text-driven 3D scene generation framework that leverages panoramic image generation and 3D Gaussian Splatting (3DGS) to synthesize high-quality, spatially consistent 3D environments with 360-degree views.
3d-scenegaussian-splattingpanoramatext-to-3d -
SceneTeller Discovered by AI
2024
A text-based 3D room design framework that generates high-quality indoor 3D scenes from natural language descriptions, facilitating interactive room planning and environment design.
indoor-sceneroom-designtext-to-3d -
SceneX: Procedural Controllable Large-scale Scene Generation Discovered by AI
2024
A procedural controllable large-scale scene generation framework that combines Large Language Models (LLMs) with procedural content generation (PCG) tools to automatically produce high-quality 3D natural scenes and urban environments from textual descriptions.
3d-scenellmpcgprocedural-generation -
WonderWorld Discovered by AI
2024
An interactive 3D scene generation framework that allows users to progressively generate connected, diverse, and explorable 3D environments from a single image in low latency.
3d-scenegaussian-splattinginteractive -
Ctrl-Room: Controllable Text-to-3D Room Meshes Generation with Layout Constraints Discovered by AI
2023
A controllable text-to-3D room generation framework that separates layout and appearance modeling, enabling the generation of high-fidelity 3D indoor scenes with designer-style layouts and supporting interactive editing operations like resizing or moving furniture.
3d-sceneindoor-scenelayout-controltext-to-3d -
Holodeck Discovered by AI
2023
A system that generates diverse, interactive, and semantically rich 3D environments from natural language prompts by leveraging large language models for spatial planning and asset selection.
3d-scenellmprocedural -
SceneDreamer Discovered by AI
2023
An unconditional generative model for unbounded 3D scenes that synthesizes large-scale 3D landscapes from random noise, trained solely on in-the-wild 2D image collections without 3D annotations.
generative-modellandscape-generationunbounded-scene
Proprietary / Industry Tools¶
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World Labs Marble Discovered by AI
2025
A multimodal 3D world model that generates persistent, high-fidelity 3D environments from text, images, videos, or coarse layouts. It supports interactive camera control, AI-native world editing (adding/removing objects, style changes), and exporting scenes as Gaussian splats, meshes, or video.
3d-sceneenvironmentgaussian-splattingworld-model -
Atlas AI Studio Discovered by AI
2023
A generative AI platform designed for game developers to accelerate virtual worldbuilding by transforming 2D concept art, mood boards, and text prompts into structured 3D assets and environments.
3d-assetsconcept-to-3dworldbuilding -
Promethean AI Discovered by AI
2019
An AI-driven suite for virtual world building and set dressing that assists artists by automatically placing assets, suggesting layouts, and generating 3D environments within popular game engines.
set-dressingunreal-engineworld-building -
DeepMind's foundation world model that generates interactive, playable 3D environments from a single image or text prompt, controllable in real time.
commercialinteractiveplayableworld-model -
World Labs' commercial platform that generates large, explorable 3D worlds from a prompt or image, aimed at environment creation for games and virtual production.
apicommercialsceneworld-model -
An emerging commercial generative world model producing interactive, explorable environments for real-time world creation.
commercialinteractiveworld-model -
An emerging commercial spatial-intelligence platform for generating navigable 3D scenes and worlds from prompts or images.
commercialsceneworld-model








