6 accepted papers
Craniofacial superimposition is a crucial forensic science technique to identify human remains by matching skulls to facial images. However, this task is challenging due to significant morphological differences between skulls and faces, limited paired samples, and high data dimensionality. We propos…
Diffusion models have become a rising star in image super-resolution (SR) tasks. However, it is not trivial to apply diffusion models for light field (LF) image SR, which requires maintaining the high-quality visual appearance of each sub-aperture image (SAI) and the angular consistency between the…
Inverse rendering has been extensively explored with the advent of neural implicit fields. However, existing methods struggle to model global illumination and to fully integrate volume rendering with physically based rendering in a single stage. To address this issue, we propose TIRPL, a tailored-ma…
3D Gaussian splatting (3DGS) has shown promise for fast and high-quality mapping in simultaneous localization and mapping (SLAM), but faces convergence challenges in large-scale scenes across three key aspects. Firstly, the excessive Gaussian points in 3DGS models for large-scale scenes make the sea
How to estimate accurately the homography is always a challenging problem in computer vision. In the reported literature, the measurement error of the image points is usually assumed to obey isotropic Gaussian distribution. However, real data very seldom follows this assumption. This paper proposes…
Age is an important biometric feature of human face. Estimating the specific age of facial images is challenging, because of face aging's highly nonlinearity and randomness. Commonly age predictors are based on classification or regression method, which may be affected greatly by the category number…