GenXD: Generating Any 3D and 4D Scenes
Yuyang Zhao, Chung-Ching Lin, Kevin Lin, Zhiwen Yan, Linjie Li, Zhengyuan Yang, Jianfeng Wang, Gim Hee Lee, Lijuan Wang
2025年份
11顶会引用
摘要
Microsoft Corporation https://gen-x-d.github.io Multi-View 3D Single View 3D Multi-View 4D Single View 4D Figure 1: GenX D is a unified model for high-quality 3D and 4D generation from any number of condition images. By controlling the motion strength and condition masks, GenX D can support various application without any modification. The condition images are shown with star icon and the time dimension is illustrated with dash line.
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
引用它的顶会 Paper11
- Gen3R: 3D Scene Generation Meets Feed-Forward ReconstructionJiaxin Huang, Yuanbo Yang, Bangbang Yang, Lin Ma 等CVPR 2026 · 被引用 24 次
- G4Splat: Geometry-Guided Gaussian Splatting with Generative PriorJunfeng Ni, Yixin Chen, Zhifei Yang, Yu Liu 等ICLR 2026 · 被引用 10 次
- Stable Part Diffusion 4D: Multi-View RGB and Kinematic Parts Video GenerationHao Zhang, Chun-Han Yao, Simon Donné, Narendra Ahuja 等NeurIPS 2025 · 被引用 8 次
- SceneTok: A Compressed, Diffusable Token Space for 3D ScenesMohammad Asim, Christopher Wewer, Jan LenssenCVPR 2026 · 被引用 6 次
- SV4D 2.0: Enhancing Spatio-Temporal Consistency in Multi-View Video Diffusion for High-Quality 4D GenerationChun-Han Yao, Yiming Xie, Vikram Voleti, Huaizu Jiang 等ICCV 2025 · 被引用 5 次
它引用的顶会 Paper38
- Learning Transferable Visual Models From Natural Language SupervisionAlec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh 等ICML 2021 · 被引用 47,906 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
- 3D Gaussian Splatting for Real-Time Radiance Field RenderingBernhard Kerbl, Georgios Kopanas, Thomas Leimkühler, George DrettakisSIGGRAPH 2023 · 被引用 5,687 次
- Scaling Rectified Flow Transformers for High-Resolution Image SynthesisPatrick Esser, Sumith Kulal, Andreas Blattmann, Rahim Entezari 等ICML 2024 · 被引用 3,620 次
- Depth Anything V2Lihe Yang, Bingyi Kang, Zilong Huang, Zhen Zhao 等NeurIPS 2024 · 被引用 2,305 次
相关 Paper
- Morphable Diffusion: 3D-Consistent Diffusion for Single-image Avatar CreationXiyi Chen, Marko Mihajlovic, Shaofei Wang, Sergey Prokudin 等CVPR 2024
- GEN3C: 3D-Informed World-Consistent Video Generation with Precise Camera ControlXuanchi Ren, Tianchang Shen, Jiahui Huang, Huan Ling 等CVPR 2025
- FlexGen: Flexible Multi-View Generation from Text and Image InputsXinli Xu, Wenhang Ge, Jiantao Lin, Jiawei Feng 等ICCV 2025
- Quantitative Manipulation of Custom Attributes on 3D-Aware Image SynthesisHoseok Do, Eunkyung Yoo, Taehyeong Kim, Chul Lee 等CVPR 2023
- Controlling Space and Time with Diffusion ModelsDaniel Watson, Saurabh Saxena, Lala Li, Andrea Tagliasacchi 等ICLR 2025
