# Gaussian Drawing

Spell By Spline
Spell is an AI model launched by Spline that can generate complete 3D scenes from a single image. It is based on diffusion model technology and trained by combining real and synthetic data, capable of producing 3D worlds with multi-view consistency in just a few minutes. The major advantage of this technology is its ability to generate high-quality 3D scenes quickly while supporting various rendering techniques such as Gaussian drawing and neural radiance fields. The advent of Spell has brought revolutionary changes to the field of 3D design, allowing creators to generate and explore 3D scenes more efficiently. Currently, Spell is still in development, and the team plans to frequently update the model to enhance quality and consistency.
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Dreammesh4d
DreamMesh4D is a novel framework that combines mesh representation with sparse control deformation techniques to generate high-quality 4D objects from monocular videos. This technology addresses the challenges of spatial-temporal consistency and surface texture quality seen in traditional methods by integrating implicit neural radiance fields (NeRF) or explicit Gaussian drawing as underlying representations. Drawing inspiration from modern 3D animation workflows, DreamMesh4D binds Gaussian drawing to triangle mesh surfaces, enabling differentiable optimization of textures and mesh vertices. The framework starts with a rough mesh provided by single-image 3D generation methods and constructs a deformation graph by uniformly sampling sparse points to enhance computational efficiency while providing additional constraints. Through two-stage learning, it leverages reference view photometric loss, score distillation loss, and other regularization losses to effectively learn static surface Gaussians, mesh vertices, and dynamic deformation networks. DreamMesh4D outperforms previous video-to-4D generation methods in rendering quality and spatial-temporal consistency, and its mesh-based representation is compatible with modern geometric processes, showcasing its potential in the 3D gaming and film industries.
AI video generation
49.7K
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