FantasyWorld: Geometry-Consistent World Modeling via Unified Video and 3D Prediction
On the map: World models → Video-generation world models and simulators
Abstract (arXiv)
High-quality 3D world models are pivotal for embodied intelligence and Artificial General Intelligence (AGI), underpinning applications such as AR/VR content creation and robotic navigation. Despite the established strong imaginative priors, current video foundation models lack explicit 3D grounding capabilities, thus being limited in both spatial consistency and their utility for downstream 3D reasoning tasks. In this work, we present FantasyWorld, a geometry-enhanced framework that augments frozen video foundation models with a trainable geometric branch, enabling joint modeling of video latents and an implicit 3D field in a single forward pass. Our approach introduces cross-branch supervision, where geometry cues guide video generation and video priors regularize 3D prediction, thus yielding consistent and generalizable 3D-aware video representations. Notably, the resulting latents from the geometric branch can potentially serve as versatile representations for downstream 3D tasks such as novel view synthesis and navigation, without requiring per-scene optimization or fine-tuning. Extensive experiments show that FantasyWorld effectively bridges video imagination and 3D perception, outperforming recent geometry-consistent baselines in multi-view coherence and style consistency. Ablation studies further confirm that these gains stem from the unified backbone and cross-branch information exchange.
Key facts. Cited by 38 papers in the map (data through 14 Oct 2026). Placed in Video-generation world models and simulators, one of 11 directions in World models. Builds on 52 of its 55 references that are in the map. First posted on arXiv 25 Sep 2025.
Builds on
52 of 55 references.
Closest ancestors · 5
Same direction, newest first
- 2025Geometry Forcing: Marrying Video Diffusion and 3D Representation for Consistent World Modeling10 Jul
- 2025DeepVerse: 4D Autoregressive Video Generation as a World Model1 Jun
- 2025Wan: Open and Advanced Large-Scale Video Generative Models26 Mar
- 2022DreamFusion: Text-to-3D using 2D Diffusion29 Sep
- 2021Learning Transferable Visual Models From Natural Language Supervision26 Feb
Other references · 47
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- 2023DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Visioncited by 537
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- 2023Repurposing Diffusion-Based Image Generators for Monocular Depth Estimationcited by 327
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- 20243D Reconstruction with Spatial Memorycited by 277
- 2020Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Imagecited by 243
- 2025AnySplat: Feed-forward 3D Gaussian Splatting from Unconstrained Viewscited by 243
- 2025Video Depth Anything: Consistent Depth Estimation for Super-Long Videoscited by 207
- 2024DepthCrafter: Generating Consistent Long Depth Sequences for Open-world Videoscited by 204
- 2024WonderWorld: Interactive 3D Scene Generation from a Single Imagecited by 202
- 20234D-fy: Text-to-4D Generation Using Hybrid Score Distillation Samplingcited by 185
- 2025FLARE: Feed-forward Geometry, Appearance and Camera Estimation from Uncalibrated Sparse Viewscited by 180
- 2025Context as Memory: Scene-Consistent Interactive Long Video Generation with Memory Retrievalcited by 163
- 2024MASt3R-SfM: a Fully-Integrated Solution for Unconstrained Structure-from-Motioncited by 162
- 2023WonderJourney: Going from Anywhere to Everywherecited by 158
- 2025WorldScore: A Unified Evaluation Benchmark for World Generationcited by 156
- 2023UniMax: Fairer and more Effective Language Sampling for Large-Scale Multilingual Pretrainingcited by 151
- 2024ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Modelcited by 143
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- 2024RGBD Objects in the Wild: Scaling Real-World 3D Object Learning from RGB-D Videoscited by 115
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- 2023PonderV2: Pave the Way for 3D Foundation Model with A Universal Pre-training Paradigmcited by 56
- 2025Matrix3D: Large Photogrammetry Model All-in-Onecited by 40
- 2024Vidu4D: Single Generated Video to High-Fidelity 4D Reconstruction with Dynamic Gaussian Surfelscited by 38
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- 2024On the Feature Learning in Diffusion Modelscited by 20
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Citing papers per year: 2025: 3; 2026: 35.
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- 2026HarnessEval-W: Agentifying the Evaluation of Visual Worldscited by 4
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- 2026WorldAlign: Decoupled 4D Reward for World-Consistent Video Generation8 Oct 2026
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- 2026RoGe: Novel View Synthesis via End-to-End Implicit Reconstruction and Generation2 Sep 2026
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- 2026Warp-as-History: Generalizable Camera-Controlled Video Generation from One Training Video14 May 2026
- 2026GTA: Advancing Image-to-3D World Generation via Geometry Then Appearance Video Diffusion13 May 2026
- 2026World-R1: Reinforcing 3D Constraints for Text-to-Video Generation27 Apr 2026
- 2026Feed-Forward 3D Scene Modeling: A Problem-Driven Perspective15 Apr 2026
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- 2026SceneExpander: Text-Guided 3D Scene Expansion via Free-Form View Insertion28 Mar 2026
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- 2026VIGOR: VIdeo Geometry-Oriented Reward for Temporal Generative Alignment17 Mar 2026
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12 most cited of 13 All 13 (JSON)
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- 2026HarnessEval-W: Agentifying the Evaluation of Visual Worlds17 Aug 2026
- 2026WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity3 Aug 2026
- 2026MemoBench: Benchmarking World Modeling in Dynamically Changing Environments25 Jun 2026
- 2026Towards Interactive Video World Modeling: Frontiers, Challenges, Benchmarks, and Future Trends31 May 2026
- 2026WBench: A Comprehensive Multi-turn Benchmark for Interactive Video World Model Evaluation25 May 2026
- 2026Drift-Resistant Navigation World Model with Anchored Epipolar Guidance23 May 2026
- 2026INSPATIO-WORLD: A Real-Time 4D World Simulator via Spatiotemporal Autoregressive Modeling8 Apr 2026
- 2026Omni-WorldBench: Towards a Comprehensive Interaction-Centric Evaluation for World Models23 Mar 2026
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12 newest of 13 All 13 (JSON)
- 2026VGGRPO: Towards World-Consistent Video Generation with 4D Latent Rewardcited by 24
- 2026VIGOR: VIdeo Geometry-Oriented Reward for Temporal Generative Alignmentcited by 7
- 2026VideoWeave: Unlocking Geometric Consistency in Video Generation via Joint Geometry-Video Modelingcited by 7
- 2026PixWorld: Unifying 3D Scene Generation and Reconstruction in Pixel Spacecited by 4
- 2026GTA: Advancing Image-to-3D World Generation via Geometry Then Appearance Video Diffusioncited by 2
- 2026OctWorld: Long-Range World-Consistent Video Generation with Octree-Based 3D Mappingcited by 1
- 2025Envision: Embodied Visual Planning via Goal-Imagery Video Diffusioncited by 0
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- 2026LongLive-Plug: Once-for-All Distillation for Video Generation29 Sep 2026
- 2026OctWorld: Long-Range World-Consistent Video Generation with Octree-Based 3D Mapping3 Sep 2026
- 2026Stabilizing Camera-Controlled Novel View Synthesis at Inference Time3 Sep 2026
- 2026PixWorld: Unifying 3D Scene Generation and Reconstruction in Pixel Space6 Jul 2026
- 2026MMDiff: Extending Diffusion Transformers for Multi-Modal Generation15 Jun 2026
- 2026VideoWeave: Unlocking Geometric Consistency in Video Generation via Joint Geometry-Video Modeling12 Jun 2026
- 2026GTA: Advancing Image-to-3D World Generation via Geometry Then Appearance Video Diffusion13 May 2026
- 2026VGGRPO: Towards World-Consistent Video Generation with 4D Latent Reward27 Mar 2026
- 2026VIGOR: VIdeo Geometry-Oriented Reward for Temporal Generative Alignment17 Mar 2026
- 2025Envision: Embodied Visual Planning via Goal-Imagery Video Diffusion27 Dec 2025
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- 2026World-R1: Reinforcing 3D Constraints for Text-to-Video Generationcited by 11
- 2026CineScene: Implicit 3D as Effective Scene Representation for Cinematic Video Generationcited by 7
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- 2026OneWorld: Taming Scene Generation with 3D Unified Representation Autoencodercited by 2
- 2026Envision4D: Envisioning Visual Futures via Feed-forward 4D Gaussian Splatting for Autonomous Drivingcited by 1
- 2026SceneExpander: Text-Guided 3D Scene Expansion via Free-Form View Insertioncited by 0
- 2026RoGe: Novel View Synthesis via End-to-End Implicit Reconstruction and Generationcited by 0
- 2026Puffin-World: Scaling a Unified Multimodal Model with Native 3D World Statescited by 0
- 2026Proxy2World: Learning to Generate Worlds From Lightweight Proxies without Seeing Themcited by 0
- 2026Proxy2World: Learning to Generate Worlds From Lightweight Proxies without Seeing Them28 Sep 2026
- 2026Puffin-World: Scaling a Unified Multimodal Model with Native 3D World States3 Sep 2026
- 2026RoGe: Novel View Synthesis via End-to-End Implicit Reconstruction and Generation2 Sep 2026
- 2026Envision4D: Envisioning Visual Futures via Feed-forward 4D Gaussian Splatting for Autonomous Driving9 Jun 2026
- 2026Warp-as-History: Generalizable Camera-Controlled Video Generation from One Training Video14 May 2026
- 2026World-R1: Reinforcing 3D Constraints for Text-to-Video Generation27 Apr 2026
- 2026Feed-Forward 3D Scene Modeling: A Problem-Driven Perspective15 Apr 2026
- 2026Lyra 2.0: Explorable Generative 3D Worlds14 Apr 2026
- 2026SceneExpander: Text-Guided 3D Scene Expansion via Free-Form View Insertion28 Mar 2026
- 2026OneWorld: Taming Scene Generation with 3D Unified Representation Autoencoder17 Mar 2026
- 2026CineScene: Implicit 3D as Effective Scene Representation for Cinematic Video Generation6 Feb 2026
- 2025WorldReel: 4D Video Generation with Consistent Geometry and Motion Modeling8 Dec 2025
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