Search Results for author:
Found 4 papers, 1 papers with code
CoCoGaussian: Leveraging Circle of Confusion for Gaussian Splatting from Defocused Images
While conventional methods depend on sharp images for accurate scene reconstruction, real-world scenarios are often affected by defocus blur due to finite depth of field, making it essential to account for realistic 3D scene representation.
SEFD: Learning to Distill Complex Pose and Occlusion
This paper addresses the problem of three-dimensional (3D) human mesh estimation in complex poses and occluded situations.
Ranked #2 on
2D Human Pose Estimation
on OCHuman
Self-Supervised Depth Estimation with Isometric-Self-Sample-Based Learning
Most previous methods have alleviated this issue by removing the dynamic regions in the photometric loss formulation based on the masks estimated from another module, making it difficult to fully utilize the training images.
Propose-and-Attend Single Shot Detector
We present a simple yet effective prediction module for a one-stage detector.
