The advent of affordable consumer grade RGB‐D cameras has brought about a profound
advancement of visual scene reconstruction methods. Both computer graphics and …

The video-language (VL) pretraining has achieved remarkable improvement in multiple
downstream tasks. However, the current VL pretraining framework is hard to extend to …

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

The reconstruction of dense 3D models of face geometry and appearance from a single
image is highly challenging and ill-posed. To constrain the problem, many approaches rely …

Applying image-based processing methods to original videos on a framewise level breaks
the temporal consistency between consecutive frames. Traditional video temporal …

Monocular image-based 3D reconstruction of faces is a long-standing problem in computer
vision. Since image data is a 2D projection of a 3D face, the resulting depth ambiguity …

Identifying sparse salient structures from dense pixels is a longstanding problem in visual
computing. Solutions to this problem can benefit both image manipulation and …

Intrinsic image decomposition is the process of recovering the image formation components
(reflectance and shading) from an image. Previous methods employ either explicit priors to …

Extending image processing techniques to videos is a non-trivial task; applying processing
independently to each video frame often leads to temporal inconsistencies, and explicitly …

Estimating the reflectance layer from a single image is a challenging task. It becomes more
challenging when the input image contains shadows or specular highlights, which often …