Magic3D : High-Resolution Text-to-3D Content Creation - NVIDIA
Magic3D can create high-quality 3D textured mesh models from input text prompts. It utilizes a coarse-to-fine strategy leveraging both low- and high-resolution diffusion priors for learning the 3D representation of the target content. Magic3D synthesizes 3D content with 8× higher-resolution supervision than DreamFusion while also being 2× faster.
Magic3D is a new text-to-3D content creation tool that generates high-quality 3D meshes. We provide users with new ways to control 3D synthesis, opening up new avenues to various creative applications. High-resolution 3D mesh Major benefits! Fast (40 minutes, 2× faster than DreamFusion[1]) " Uses high-resolution (512×512) diffusion priors
Magic3D: High-Resolution Text-to-3D Content Creation | Research …
2023年6月1日 · DreamFusion has recently demonstrated the utility of a pre-trained text-to-image diffusion model to optimize Neural Radiance Fields (NeRF), achieving remarkable text-to-3D synthesis results. However, the method has two inherent limitations: (a) extremely slow optimization of NeRF and (b) low-resolution image space supervision on NeRF, leading to low …
Magic3D: High-Resolution Text-to-3D Content Creation | NVIDIA …
DreamFusion has recently demonstrated the utility of a pre-trained text-to-image diffusion model to optimize Neural Radiance Fields (NeRF), achieving remarkable text-to-3D synthesis results. However, the method has two inherent limitations: (a) extremely slow optimization of NeRF and (b) low-resolution image space supervision on NeRF, leading to low-quality 3D models with a …
Magic3D: High-Resolution Text-to-3D Content Creation | NVIDIA …
NVIDIA Research; Light Dark Automatic. Magic3D: High-Resolution Text-to-3D Content Creation. Chen-Hsuan Lin, Jun Gao, Luming Tang, Towaki Takikawa, Xiaohui Zeng, Xun Huang, Karsten Kreis, Sanja Fidler, Ming-Yu Liu, Tsung-Yi Lin. June …
Magic3D: High-Resolution Text-to-3D Content Creation
NVIDIA Research; Light Dark Automatic. Magic3D: High-Resolution Text-to-3D Content Creation. Chen-Hsuan Lin, Jun Gao, Luming Tang, Towaki Takikawa, Xiaohui Zeng, Xun Huang, Karsten Kreis, Sanja Fidler, Ming-Yu Liu, Tsung-Yi Lin. June …
GET3D: A Generative Model of High Quality 3D Textured Shapes
We generate a 3D SDF and a texture field via two latent codes. We utilize DMTet to extract a 3D surface mesh from the SDF, and query the texture field at surface points to get colors. We train with adversarial losses defined on 2D images. In particular, we use a rasterization-based differentiable renderer to obtain RGB images and silhouettes.
InfiniCube: Unbounded and Controllable Dynamic 3D Driving …
We present InfiniCube, a scalable method for generating unbounded dynamic 3D driving scenes with high fidelity and controllability. We leverage the recent advancements in scalable 3D representation and video models to achieve large dynamic scene generation that allows flexible controls through HD maps, vehicle bounding boxes, and text descriptions.
QUantized Efficient ENcoding of Dynamic Gaussians for Streaming …
In this work, we propose a novel framework for QUantized and Efficient ENcoding (QUEEN) for streaming FVV using 3D Gaussian Splatting (3D-GS). QUEEN directly learns Gaussian attribute residuals between consecutive frames at each time-step without imposing any structural constraints on them, allowing for high quality reconstruction and ...
Improving Distant 3D Object Detection Using 2D Box Supervision
NVIDIA Research; Light Dark Automatic. Improving Distant 3D Object Detection Using 2D Box Supervision. Zetong Yang, Zhiding Yu, Christopher Choy, Renhao Wang, Anima Anandkumar, Jose M. Alvarez. June 2024 Cite arXiv Type. Conference paper Publication.