STAG4D: Spatial-Temporal Anchored Generative 4D Gaussians
Authors:
Top Cited Papers
- 25 October 2024
- book chapter
- Published by Springer Nature
- p. 163-179
Abstract
No abstract availableKeywords
All Related Versions
This publication has 22 references indexed in Scilit:
- Align Your Gaussians: Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion Models2024
- A Unified Approach for Text-and Image-Guided 4D Scene Generation2024
- 4D-fy: Text-to-4D Generation Using Hybrid Score Distillation Sampling2024
- Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesis2024
- Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation2023
- Magic3D: High-Resolution Text-to-3D Content Creation2023
- High-Resolution Image Synthesis with Latent Diffusion Models2022
- Space-time Neural Irradiance Fields for Free-Viewpoint Video2021
- Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes2021
- NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis2020