Diffusion-based methods can generate realistic images and videos, but they struggle to edit
existing objects in a video while preserving their geometry over time. This prevents diffusion …

Learning-based methods have dominated the 3D human pose estimation (HPE) tasks with
significantly better performance in most benchmarks than traditional optimization-based …

Text-to-3D generation from a single-view image is a popular but challenging task in 3D
vision. Although numerous methods have been proposed, existing works still suffer from the …

Recent text-to-image (T2I) models have benefited from large-scale and high-quality data,
demonstrating impressive performance. However, these T2I models still struggle to produce …

City layout generation has recently gained significant attention. The goal of this task is to
automatically generate the layout of a city scene, including elements such as roads …

With the power of large language models (LLMs), open-ended embodied agents can flexibly
understand human instructions, generate interpretable guidance strategies, and output …

Diffusion Models have shown remarkable performance in image generation tasks which are
capable of generating diverse and realistic image content. When adopting diffusion models …

The evolution of Outfit Recommendation (OR) in the realm of fashion has progressed
through two distinct phases: Pre-defined Outfit Recommendation and Personalized Outfit …

Outfit Recommendation (OR) in the fashion domain has evolved through two stages: Pre-
defined Outfit Recommendation and Personalized Outfit Composition. However, both stages …

Image captioning bridges the gap between vision and language by automatically generating
natural language descriptions for images. Traditional image captioning methods often …