ConsistDreamer: 3D-Consistent 2D Diffusion for High-Fidelity Scene Editing
This paper proposes ConsistDreamer-a novel framework that lifts 2D diffusion models with
3D awareness and 3D consistency thus enabling high-fidelity instruction-guided scene …
3D awareness and 3D consistency thus enabling high-fidelity instruction-guided scene …
DeepVM: Integrating Spot and On-Demand VMs for Cost-Efficient Deep Learning Clusters in the Cloud
Distributed Deep Learning (DDL), as a paradigm, dictates the use of GPU-based clusters as
the optimal infrastructure for training large-scale Deep Neural Networks (DNNs). However …
the optimal infrastructure for training large-scale Deep Neural Networks (DNNs). However …