Chris from NFT Calendar: Thank you so much, we do our best! Let's talk business. The community really needed a decent NFT calendar, and there wasn't one until you guys came around. It's a pleasure to be here, I'm grateful for the opportunity to reach out to your audience! I've been following you guys since the beginning and I've watched you grow by leaps and bounds, and all I can say is it's well deserved.

Videos are played at the original speed and recorded on an NVIDIA 3070 (8GB).We are talking to DungeonMaster today - the project lead and founder of Generative Dungeon. We can support images with a non-zero elevation angle too! Our method converges in 2 minutes for image-to-3D while keeping good generation quality. Notably, DreamGaussian produces high-quality textured meshes in just 2 minutes from a single-view image, achieving approximately 10 times acceleration compared to existing methods. To further enhance the texture quality and facilitate downstream applications, we introduce an efficient algorithm to convert 3D Gaussians into textured meshes and apply a fine-tuning stage to refine the details.Įxtensive experiments demonstrate the superior efficiency and competitive generation quality of our proposed approach. In contrast to the occupancy pruning used in Neural Radiance Fields, we demonstrate that the progressive densification of 3D Gaussians converges significantly faster for 3D generative tasks. Our key insight is to design a generative 3D Gaussian Splatting model with companioned mesh extraction and texture refinement in UV space. In this paper, we propose DreamGaussian, a novel 3D content generation framework that achieves both efficiency and quality simultaneously. Though promising results have been exhibited, these methods often suffer from slow per-sample optimization, limiting their practical usage. Recent advances in 3D content creation mostly leverage optimization-based 3D generation via score distillation sampling (SDS).

Generative Quest free instal