In recent years, 3D vision has become a crucial field within computer vision, powering a
wide range of applications such as autonomous driving, robotics, augmented reality (AR) …

Compositional 3D scene synthesis has diverse applications across a spectrum of industries
such as robotics, films, and video games, as it closely mirrors the complexity of real-world …

Automatically generating high-quality textures for complex scenes remains a significant
challenge in computer graphics. Recent advances in text-to-texture synthesis using 2D …

Controllable 3D scene generation has extensive applications in virtual reality and interior
design, where the generated scenes should exhibit high levels of realism and controllability …

Indoor scene synthesis aims to automatically produce plausible, realistic and diverse 3D
indoor scenes, especially given arbitrary user requirements. Recently, the promising …

Learning-based methods have become increasingly popular in 3D indoor scene synthesis
(ISS), showing superior performance over traditional optimization-based approaches. These …

Given the steep learning curve of professional 3D software and the time-consuming process
of managing large 3D assets, language-guided 3D scene editing has significant potential in …

This paper presents a novel generative approach that outputs 3D indoor environments
solely from a textual description of the scene. Current methods often treat scene synthesis as …

Given the steep learning curve of professional 3D software and the time-consuming process
of managing large 3D assets, language-guided 3D scene editing has significant potential in …

Stochastic thermodynamics is an emerging field of research that has received considerable
attention in the past two decades. Among its most visible applications is to understand the …