Perceiving the similarity between images has been a long-standing and fundamental
problem underlying various visual generation tasks. Predominant approaches measure the …

Despite the great success of GANs in images translation with different conditioned inputs
such as semantic segmentation and edge map, generating high-fidelity images with …

Image inpainting is an underdetermined inverse problem, which naturally allows diverse
contents to fill up the missing or corrupted regions realistically. Prevalent approaches using …

Exemplar-based image translation establishes dense correspondences between a
conditional input and an exemplar (from two different domains) for leveraging detailed …

Deep generative models have achieved conspicuous progress in realistic image synthesis
with multifarious conditional inputs, while generating diverse yet high-fidelity images …

Illumination estimation from a single image is critical in 3D rendering and it has been
investigated extensively in the computer vision and computer graphic research community …

Accurate lighting estimation is challenging yet critical to many computer vision and computer
graphics tasks such as high-dynamic-range (HDR) relighting. Existing approaches model …

Indoor scenes exhibit significant appearance variations due to myriad interactions between
arbitrarily diverse object shapes, spatially-changing materials, and complex lighting …

Generative adversarial networks (GANs) have achieved great success in image translation
and manipulation. However, high-fidelity image generation with faithful style control remains …

Neural Radiance Fields (NeRF) has demonstrated very impressive performance in novel
view synthesis via implicitly modelling 3D representations from multi-view 2D images …