collaborators

5 papers

cs.CV2026

Points-to-3D: Structure-Aware 3D Generation with Point Cloud Priors

Jiatong Xia, Zicheng Duan, Anton van den Hengel +1

Recent progress in 3D generation has been driven largely by models conditioned on images or text, while readily available 3D priors are still underused. In many real-world scenario…

cs.CV2026

LiveWorld: Simulating Out-of-Sight Dynamics in Generative Video World Models

Zicheng Duan, Jiatong Xia, Zeyu Zhang +7

Recent generative video world models aim to simulate visual environment evolution, allowing an observer to interactively explore the scene via camera control. However, they implici…

cs.CV2026

Training-Free Instance-Aware 3D Scene Reconstruction and Diffusion-Based View Synthesis from Sparse Images

Jiatong Xia, Lingqiao Liu

We introduce a novel, training-free system for reconstructing, understanding, and rendering 3D indoor scenes from a sparse set of unposed RGB images. Unlike traditional radiance fi…

cs.CV2025

Enhancing Close-up Novel View Synthesis via Pseudo-labeling

Jiatong Xia, Libo Sun, Lingqiao Liu

Recent methods, such as Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS), have demonstrated remarkable capabilities in novel view synthesis. However, despite their su…

cs.CV2025

Close-up-GS: Enhancing Close-Up View Synthesis in 3D Gaussian Splatting with Progressive Self-Training

Jiatong Xia, Lingqiao Liu

3D Gaussian Splatting (3DGS) has demonstrated impressive performance in synthesizing novel views after training on a given set of viewpoints. However, its rendering quality deterio…