VideoScene: Distilling Video Diffusion Model to Generate 3D Scenes in One Step
Hanyang Wang, Fangfu Liu, Jiawei Chi, Yueqi Duan
2025年份
10顶会引用
摘要
dundant information and train a dynamic denoising policy network to adaptively determine the optimal leap timestep during inference. Extensive experiments demonstrate that our VideoScene achieves faster and superior 3D scene generation results than previous video diffusion models, highlighting its potential as an efficient tool for future video to 3D applications.
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引用它的顶会 Paper10
- LangSplatV2: High-dimensional 3D Language Gaussian Splatting with 450+ FPSWanhua Li, Yujie Zhao, Minghan Qin, Yang Liu 等NeurIPS 2025 · 被引用 54 次
- Taming Video Models for 3D and 4D Generation via Zero-Shot Camera ControlChenxi Song, Yanming Yang, Tong Zhao, Ruibo Li 等CVPR 2026 · 被引用 17 次
- GaussFusion: Improving 3D Reconstruction in the Wild with A Geometry-Informed Video GeneratorLiyuan Zhu, Manjunath Narayana, Michal Stary, Will Hutchcroft 等CVPR 2026 · 被引用 7 次
- SceneTransporter: Optimal Transport-Guided Compositional Latent Diffusion for Single-Image Structured 3D Scene GenerationLing Wang, Hao-Xiang Guo, Xinzhou Wang, Fuchun Sun 等ICLR 2026 · 被引用 6 次
- SpatialCrafter: Unleashing the Imagination of Video Diffusion Models for Scene Reconstruction from Limited ObservationsSongchun Zhang, Huiyao Xu, Sitong Guo, Zhongwei Xie 等ICCV 2025 · 被引用 6 次
它引用的顶会 Paper34
- Denoising Diffusion Probabilistic ModelsJonathan Ho, Ajay Jain, Pieter AbbeelNeurIPS 2020 · 被引用 35,902 次
- High-Resolution Image Synthesis with Latent Diffusion ModelsRobin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser 等CVPR 2022 · 被引用 13,123 次
- Denoising Diffusion Implicit ModelsJiaming Song, Chenlin Meng, Stefano ErmonICLR 2021 · 被引用 11,743 次
- 3D Gaussian Splatting for Real-Time Radiance Field RenderingBernhard Kerbl, Georgios Kopanas, Thomas Leimkühler, George DrettakisSIGGRAPH 2023 · 被引用 5,687 次
- Scalable Diffusion Models with TransformersWilliam Peebles, Saining XieICCV 2023 · 被引用 5,568 次
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