collaborators

9 papers

cs.CV2026

Utonia: Toward One Encoder for All Point Clouds

Yujia Zhang, Xiaoyang Wu, Yunhan Yang +6

We dream of a future where point clouds from all domains can come together to shape a single model that benefits them all. Toward this goal, we present Utonia, a first step toward…

cs.CV2026

Any3D-VLA: Enhancing VLA Robustness via Diverse Point Clouds

Xianzhe Fan, Shengliang Deng, Xiaoyang Wu +7

Existing Vision-Language-Action (VLA) models typically take 2D images as visual input, which limits their spatial understanding in complex scenes. How can we incorporate 3D informa…

cs.RO2026

DreamAvoid: Critical-Phase Test-Time Dreaming to Avoid Failures in VLA Policies

Xianzhe Fan, Yuxiang Lu, Shenyuan Gao +4

Vision-Language-Action (VLA) models are often brittle in fine-grained manipulation, where minor action errors during the critical phases can rapidly escalate into irrecoverable fai…

cs.CV2026

Less Gaussians, Texture More: 4K Feed-Forward Textured Splatting

Yixing Lao, Xuyang Bai, Xiaoyang Wu +7

Existing feed-forward 3D Gaussian Splatting methods predict pixel-aligned primitives, leading to a quadratic growth in primitive count as resolution increases. This fundamentally l…

cs.CV2026

LiteReality: Graphics-Ready 3D Scene Reconstruction from RGB-D Scans

Zhening Huang, Xiaoyang Wu, Fangcheng Zhong +3

We propose LiteReality, a novel pipeline that converts RGB-D scans of indoor environments into compact, realistic, and interactive 3D virtual replicas. LiteReality not only reconst…

cs.CV2026

Concerto: Joint 2D-3D Self-Supervised Learning Emerges Spatial Representations

Yujia Zhang, Xiaoyang Wu, Yixing Lao +4

Humans learn abstract concepts through multisensory synergy, and once formed, such representations can often be recalled from a single modality. Inspired by this principle, we intr…