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SuperGaussian: Repurposing Video Models for 3D Super Resolution
A simple, modular, and generic framework for improving 3D model fidelity by hallucinating geometric and textural details through an upsampling pipeline designed to repurpose... -
Evaluating NeRFs for 3D Plant Geometry Reconstruction in Field Conditions
The dataset used in this paper for 3D plant geometry reconstruction in field conditions. -
NeRFs for Autonomous Driving
Neural Radiance Fields (NeRFs) have emerged as promising tools for advancing autonomous driving (AD) research, offering scalable closed-loop simulation and data augmentation... -
LEARNING A DIFFUSION PRIOR FOR NERFS
The dataset is used for learning a diffusion prior for NeRFs that can generate NeRFs and be used as a prior for different test-time optimization algorithms. -
HIFA: HIGH-FIDELITY TEXT-TO-3D GENERATION
The dataset used in the paper for text-to-3D generation, generated using pre-trained text-to-image diffusion models.
