Recent advances in neural radiance fields have enabled the high-fidelity 3D reconstruction
of complex scenes for novel view synthesis. However, it remains underexplored how the …

While generative adversarial networks (GANs) can successfully produce high-quality
images, they can be challenging to control. Simplifying GAN-based image generation is …

Specular highlight detection and removal are fundamental and challenging tasks. Although
recent methods achieve promising results on the two tasks by supervised training on …

Existing image captioning methods just focus on understanding the relationship between
objects or instances in a single image, without exploring the contextual correlation existed …

Radiance fields have gradually become a main representation of media. Although its
appearance editing has been studied, how to achieve view-consistent recoloring in an …

Selecting a proper color palette is critical in crafting a high-quality graphic design to gain
visibility and communicate ideas effectively. To facilitate this process, we propose De-Stijl …

We introduce an extremely scalable and efficient yet simple palette-based image
decomposition algorithm. Given an RGB image and set of palette colors, our algorithm …

A key advantage of vector graphics over raster graphics is their editability. For example,
linear gradients define a spatially varying color fill with a few intuitive parameters, which are …

Neural Radiance Field (NeRF) is a powerful tool to faithfully generate novel views for scenes
with only sparse captured images. Despite its strong capability for representing 3D scenes …

When adding a photo onto a graphic design, professional graphic designers often adjust its
colors based on some target colors obtained from the brand or product to make the entire …