Chuanxin Song 宋传鑫

Greetings! I am a CS Ph.D. candidate at Peking University, advised by Prof. Peixi Peng. My research interests span scene generation and understanding, with a recent focus on controllable generation and a growing interest in embodied applications of generative models.

Before joining Peking University, I had a pleasant experience as a Research Assistant at The Chinese University of Hong Kong, advised by Prof. Yunhui Liu. I received my master's degree from Shandong University in 2024, where my research focused on scene understanding under the supervision of Prof. Xin Ma. I received my bachelor's degree from the University of Jinan and participated in several robotics competitions at the 1206 Lab, where it all began.

Chuanxin Song at a spatial intelligence conference
At ChinaSI 2025
Recent interests:Scene generationPanoramic vision

Selected works

Google Scholar ↗

Panoramic Video Modeling for 3D Scene Generation

Under Review

3DVideo

PVWander: 3D Memory-guided Panoramic Video Wandering with Path-Facing Canonicalization

Chuanxin Song, Xiaodong Wang, Shijie Chen, Junliang Xie, Zhanmi Zhong, Suiying Wu, Peixi Peng†

PVWander enables long-horizon panoramic video wandering with an evolving 3D memory, Path-Facing canonicalization, and Timestep-aware memory gating for improved consistency and robustness.

ICML 2026 · CCF A

Video → Depth

PVDepth: Panoramic Video Depth Estimation via Geometry-Aware Spatiotemporal Adaptation

Chuanxin Song, Peixi Peng†

Generative Panoramic video depth estimation with a large-scale RGB-D dataset and Geometry-aware spatiotemporal adaptation

Earlier work on scene understanding during my master’s studies

Pattern Recognition, 2024 · SCI Q1 Top

Efficiency

Semantic-embedded similarity prototype for scene recognition

Chuanxin Song, Hanbo Wu, Xin Ma†, Yibin Li

Object semantics are encoded into an inter-class similarity prototype to guide training, improving scene recognition without extra inference cost.

Knowledge-Based Systems, 2024 · SCI Q1 Top

Interpretability

Inter-object discriminative graph modeling for indoor scene recognition

Chuanxin Song, Hanbo Wu, Xin Ma†

Inter-object discriminative priors enrich scene representations through graph modeling.

Expert Systems with Applications, 2025 · SCI Q1 Top

Object Co-occurrence

Semantic-guided modeling of spatial relation and object co-occurrence for indoor scene recognition

Chuanxin Song, Hanbo Wu, Xin Ma†

Journal extension of SRRM, modeling spatial relations and object co-occurrence for scene recognition.

IJCNN 2023 · Oral · Session Chair

Spatial Relations

SRRM: Semantic Region Relation Model for Indoor Scene Recognition

Chuanxin Song, Xin Ma†

Semantic region relations for indoor scene recognition.

Master’s Thesis

Original cover of Chuanxin Song's master's thesis at Shandong University

SHANDONG UNIVERSITY · 2024

Study on Semantic-guided Scene Recognition

基于语义引导的场景识别算法研究

Chuanxin Song · Advised by Prof. Xin Ma

Shandong Provincial Outstanding Master’s Thesis

Exploring semantic guidance for scene recognition through spatial relations, object co-occurrence, discriminative graphs, and similarity prototypes.

Selected Honors & Awards

2019 · Service Robotics

China Robot Competition — Service Robotics Special Competition

First Prize · Perfect Score · Team Leader

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2022 · North China Region

China Graduate Electronics Design Contest

First Prize · Team Leader

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Academic Service

Journal Reviewer: IJCV, Pattern Recognition, etc.

Conference Reviewer: ICML, ICLR, etc.

Misc

I recently got a Fujifilm X-M5 and plan to give photography a try. Wish me luck!

Method overview

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