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Learning Stable Canonical Worlds for Novel View Synthesis and Beyond
Xiaoyu Xu, Jian Zou, Sheyang Tang +3
Feed-forward Gaussian splatting (FFGS) facilitates real-time novel view synthesis, yet current methods often remain tied to view-dependent predictions. As more input views are adde…
Aesthetic Camera Viewpoint Suggestion with 3D Aesthetic Field
Sheyang Tang, Armin Shafiee Sarvestani, Jialu Xu +2
The aesthetic quality of a scene depends strongly on camera viewpoint. Existing approaches for aesthetic viewpoint suggestion are either single-view adjustments, predicting limited…
HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment
Armin Shafiee Sarvestani, Sheyang Tang, Zhou Wang
Mesh quality assessment (MQA) models play a critical role in the design, optimization, and evaluation of mesh operation systems in a wide variety of applications. Current MQA model…
KPCA-CAM: Visual Explainability of Deep Computer Vision Models using Kernel PCA
Sachin Karmani, Thanushon Sivakaran, Gaurav Prasad +3
Deep learning models often function as black boxes, providing no straightforward reasoning for their predictions. This is particularly true for computer vision models, which proces…
Probeable DARTS with Application to Computational Pathology
Sheyang Tang, Mahdi S. Hosseini, Lina Chen +5
AI technology has made remarkable achievements in computational pathology (CPath), especially with the help of deep neural networks. However, the network performance is highly rela…