As information exists in various modalities in real world, effective interaction and fusion
among multimodal information plays a key role for the creation and perception of multimodal …

Recently, large-scale text-to-image (T2I) models have shown impressive performance in
generating high-fidelity images, but with limited controllability, eg, precisely specifying 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 …

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

We propose a new framework for conditional image synthesis from semantic layouts of any
precision levels, ranging from pure text to a 2D semantic canvas with precise shapes. More …

We present a method that achieves state-of-the-art results on challenging (few-shot) layout-
to-image generation tasks by accurately modeling textures, structures and relationships …

This paper is concerned with synthesizing images conditioned on a layout (a set of
bounding boxes with object categories). Existing works construct a layout-mask-image …

An architectural floorplan is a class of drawings that reflects the layout of rooms. The
difference between a floorplan and a natural image and its dual features as both a vector …

In this paper, we address the problem of conditional scene decoration for 360deg images.
Our method takes a 360deg background photograph of an indoor scene and generates …

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