Existing inverse rendering combined with neural rendering methods can only perform
editable novel view synthesis on object-specific scenes, while we present intrinsic neural …

Although various 3D datasets with different functions and scales have been proposed
recently, it remains challenging for individuals to complete the whole pipeline of large-scale …

Existing work on VQA explores data augmentation to achieve better generalization by
perturbing the images in the dataset or modifying the existing questions and answers. While …

Intrinsic decomposition is a fundamental mid-level vision problem that plays a crucial role in
various inverse rendering and computational photography pipelines. Generating highly …

Mobile robots designed for agricultural tasks need to deal with challenging outdoor
unstructured environments that usually have dynamic and static obstacles. This assumption …

On robotics computer vision tasks, generating and annotating large amounts of data from
real-world for the use of deep learning-based approaches is often difficult or even …

Optical flow estimation is a crucial task in computer vision that provides low-level motion
information. Despite recent advances, real-world applications still present significant …

At present, there is a growing focus on the landscape and environment of ocean cities, with
an increasing demand for improved ecological sustainability and aesthetic appeal. With the …

In many applications, such as robotic perception, scene understanding, augmented reality,
3D reconstruction, and medical image analysis, depth from images is a fundamentally ill …

Robust monocular depth estimation (MDE) aims at learning a unified model that works
across diverse real-world scenes, which is an important and active topic in computer vision …