Abstract: The quality of 3D generative modeling has been notably improved by the adoption of 2D diffusion models. Despite this progress, the cumbersome optimization process per se presents a critical ...
Abstract: Foundation models are in the process of becoming the dominant deep learning technology. Pretraining a foundation model is always time-consuming due to the large scale of both the model ...
Note: The Conda CUDA and system CUDA versions may differ. The compiler version (nvcc) is what matters for PyTorch extensions compilation (diff-gaussian-rasterization_fastgs). The MipNeRF360 scenes are ...
Most existing 3D point cloud object detection approaches heavily rely on large amounts of labeled training data. However, the labeling process is costly and time-consuming. This paper considers ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback