As ChatGPT goes viral, generative AI (AIGC, aka AI-generated content) has made headlines
everywhere because of its ability to analyze and create text, images, and beyond. With such …

In the realm of modern autonomous driving, the perception system is indispensable for
accurately assessing the state of the surrounding environment, thereby enabling informed …

Multi-view stereo reconstruction (MVS) in the wild requires to first estimate the camera
intrinsic and extrinsic parameters. These are usually tedious and cumbersome to obtain yet …

Although the recent rapid evolution of 3D generative neural networks greatly improves 3D
shape generation, it is still not convenient for ordinary users to create 3D shapes and control …

Transformer, an attention-based encoder–decoder model, has already revolutionized the
field of natural language processing (NLP). Inspired by such significant achievements, some …

Although neural radiance fields (NeRF) have shown impressive advances in novel view
synthesis, most methods require multiple input images of the same scene with accurate …

A central goal of visual recognition is to understand objects and scenes from a single image.
2D recognition has witnessed tremendous progress thanks to large-scale learning and …

Abstract Dichotomous Image Segmentation (DIS) has recently emerged towards high-
precision object segmentation from high-resolution natural images. When designing an …

Diffusion probabilistic models have achieved remarkable success in text guided image
generation. However, generating 3D shapes is still challenging due to the lack of sufficient …

Image-based 3D reconstruction is a long-established, ill-posed problem defined within the
scope of computer vision and graphics. The purpose of image-based 3D reconstruction is to …