WonderPlay: Dynamic 3D Scene Generation from a Single Image and Actions
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Abstract (arXiv)
WonderPlay is a novel framework integrating physics simulation with video generation for generating action-conditioned dynamic 3D scenes from a single image. While prior works are restricted to rigid body or simple elastic dynamics, WonderPlay features a hybrid generative simulator to synthesize a wide range of 3D dynamics. The hybrid generative simulator first uses a physics solver to simulate coarse 3D dynamics, which subsequently conditions a video generator to produce a video with finer, more realistic motion. The generated video is then used to update the simulated dynamic 3D scene, closing the loop between the physics solver and the video generator. This approach enables intuitive user control to be combined with the accurate dynamics of physics-based simulators and the expressivity of diffusion-based video generators. Experimental results demonstrate that WonderPlay enables users to interact with various scenes of diverse content, including cloth, sand, snow, liquid, smoke, elastic, and rigid bodies -- all using a single image input. Code will be made public. Project website: https://kyleleey.github.io/WonderPlay/
Key facts. Cited by 43 papers in the map (data through 7 Oct 2026). Builds on 63 of its 75 references that are in the map. First posted on arXiv 23 May 2025.
Builds on
63 of 75 references.
References · 63
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38 more
- 2018World Modelscited by 1,444
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- 2023Text-To-4D Dynamic Scene Generationcited by 204
- 2024WonderWorld: Interactive 3D Scene Generation from a Single Imagecited by 197
- 2023DreamGaussian4D: Generative 4D Gaussian Splattingcited by 191
- 2024PhysDreamer: Physics-Based Interaction with 3D Objects via Video Generationcited by 185
- 20234D-fy: Text-to-4D Generation Using Hybrid Score Distillation Samplingcited by 184
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- 2024GameGen-X: Interactive Open-world Game Video Generationcited by 124
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- 2024CamI2V: Camera-Controlled Image-to-Video Diffusion Modelcited by 115
- 2025Go-with-the-Flow: Motion-Controllable Video Diffusion Models Using Real-Time Warped Noisecited by 114
- 2023Animate124: Animating One Image to 4D Dynamic Scenecited by 113
- 2023Motion-Conditioned Diffusion Model for Controllable Video Synthesiscited by 99
- 2023Generative Image Dynamicscited by 93
- 2024Reconstruction and Simulation of Elastic Objects with Spring-Mass 3D Gaussianscited by 92
- 2024MOFA-Video: Controllable Image Animation via Generative Motion Field Adaptions in Frozen Image-to-Video Diffusion Modelcited by 87
- 2024TC4D: Trajectory-Conditioned Text-to-4D Generationcited by 76
- 2024Physics3D: Learning Physical Properties of 3D Gaussians via Video Diffusioncited by 76
- 2024SG-I2V: Self-Guided Trajectory Control in Image-to-Video Generationcited by 68
50 most cited of 63 All 63 (JSON)
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Citing papers per year: 2025: 10; 2026: 33.
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