Efficient multi-view Gaussian features, high-throughput asymmetric U-Net backbone, and fast 3D object generation within 5 seconds.
An efficient yet powerful representation for 3D objects, fused together for differentiable rendering.
A high-throughput backbone operating on multi-view images, produced from text or single-view image input by leveraging multi-view diffusion models.
Achieves high-resolution 3D content generation with a training resolution of 512.
Generates 3D objects within 5 seconds.
Leverages multi-view diffusion models to produce multi-view images from text or single-view image input.
Generate high-resolution 3D models from text prompts.
Create 3D objects from single-view images.
Achieve fast 3D object generation within 5 seconds.
Utilize multi-view Gaussian features for efficient 3D representation.
Prepare text prompts or single-view images as input.
Utilize multi-view diffusion models to produce multi-view images.
Leverage the asymmetric U-Net backbone to generate 3D objects.
Fine-tune the model for specific use cases or applications.