CAT4D: Create Anything in 4D with Multi-View Video Diffusion Models
원문 초록
We present CAT4D, a method for creating 4D (dynamic 3D) scenes from monocular video. CAT4D leverages a multi-view video diffusion model trained on a diverse combination of datasets to enable novel view synthesis at any specified camera poses and timestamps. Combined with a novel sampling approach, this model can transform a single monocular video into a multi-view video, enabling robust 4D reconstruction via optimization of a deformable 3D Gaussian representation. We demonstrate competitive performance on novel view synthesis and dynamic scene reconstruction benchmarks, and highlight the creative capabilities for 4D scene generation from real or generated videos. See our project page for results and interactive demos: https://cat-4d.github.io/.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
DreamAnywhere: Object-Centric Panoramic 3D Scene Generation
BulletGen: Improving 4D Reconstruction with Bullet-Time Generation
4Real-Video-V2: Fused View-Time Attention and Feedforward Reconstruction for 4D Scene Generation
DiST-4D: Disentangled Spatiotemporal Diffusion with Metric Depth for 4D Driving Scene Generation
CoDa-4DGS: Dynamic Gaussian Splatting with Context and Deformation Awareness for Autonomous Driving
Streaming 4D Visual Geometry Transformer
토론
이 논문과 연결된 포럼 글이 아직 없습니다.