Existing image editing tools, while powerful, typically disregard the underlying 3D geometry
from which the image is projected. As a result, edits made using these tools may become …

Grape leaf diseases seriously affect grape yield and directly lead to the loss of the industrial
economy. An accurate diagnosis is crucial for effective spraying and control. Presently, the …

Face inpainting, the technique of restoring missing or damaged regions in facial images, is
pivotal for applications like face recognition in occluded scenarios and image analysis with …

Unveiling an empty street from crowded observations captured by in-car cameras is crucial
for autonomous driving. However, removing all temporarily static objects, such as stopped …

We present a system that automatically brings street view imagery to life by populating it with
naturally behaving, animated pedestrians and vehicles. Our approach is to remove existing …

We introduce an end-to-end learning framework for image-to-image composition, aiming to
plausibly compose an object represented as a cropped patch from an object image into a …

Unveiling an empty street from crowded observations captured by in-car cameras is crucial
for autonomous driving. However, removing all temporarily static objects, such as stopped …

We present a novel compositing framework for full-length human figures that maintains their
surface details and appends the localized nature of light and shadow, thereby synthesizing …

This paper studies the shadow generation problem in an outdoor street scene. Previous
methods only rely on GAN-based model with the sun position to reconstruct the street view …

US20230306637A1 - Machine learning based image calibration using dense fields - Google
Patents US20230306637A1 - Machine learning based image calibration using dense fields …