Text-to-Image models have introduced a remarkable leap in the evolution of machine
learning, demonstrating high-quality synthesis of images from a given text-prompt. However …

Sketches are highly expressive, inherently capturing subjective and fine-grained visual
cues. The exploration of such innate properties of human sketches has, however, been …

Given an abstract, deformed, ordinary sketch from untrained amateurs like you and me, this
paper turns it into a photorealistic image-just like those shown in Fig. 1 (a), all non-cherry …

Two primary input modalities prevail in image retrieval: sketch and text. While text is widely
used for inter-category retrieval tasks sketches have been established as the sole preferred …

This paper unravels the potential of sketches for diffusion models addressing the deceptive
promise of direct sketch control in generative AI. We importantly democratise the process …

Recent conditional image generation methods produce images of remarkable diversity,
fidelity and realism. However, the majority of these methods allow conditioning only on …

We present multimodal conditioning modules (MCM) for enabling conditional image
synthesis using pretrained diffusion models. Previous multimodal synthesis works rely on …

Synthesizing color images based on line arts while considering the styles of reference
photos is a flexible form of artistic creation that has recently attracted public attention …

In this paper, we propose Elliptical4VR, an interactive exergame authoring tool that
synthesizes virtual environments and training programs for personalized elliptical workout …

Drawn inspiration from phenomenal attributes and translating them into heuristic model tools
is one of the effective means to promote architectural form innovation. However, over …