5 papers
Codec-Compatible Learned Compression for 3D Gaussian Splatting
Feiyang Yu, Qi Yang, Wenjie Huang +3
Video-based 3D Gaussian Splatting (3DGS) compression methods provide a practical route by representing Gaussian attributes as 2D maps and coding them with standard video codecs. Am…
OuroReward: Sequential Reward Scheduling for Reinforcement Learning in Text-to-3D Generation
Bingyang Cui, Yujie Zhang, Yiling Xu +1
Reinforcement learning (RL) for Text-to-3D (T23D) generation requires optimization across multiple quality dimensions such as semantic alignment and texture clarity. Existing metho…
Rasterizing Wireless Radiance Field via Deformable 2D Gaussian Splatting
Mufan Liu, Cixiao Zhang, Qi Yang +6
Modeling the wireless radiance field (WRF) is fundamental to modern communication systems, enabling key tasks such as localization, sensing, and channel estimation. Traditional app…
Light4GS: Lightweight Compact 4D Gaussian Splatting Generation via Context Model
Mufan Liu, Qi Yang, He Huang +4
3D Gaussian Splatting (3DGS) has emerged as an efficient and high-fidelity paradigm for novel view synthesis. To adapt 3DGS for dynamic content, deformable 3DGS incorporates tempor…
StreamOptix: A Cross-layer Adaptive Video Delivery Scheme
Mufan Liu, Le Yang, Yifan Wang +3
This paper presents a cross-layer video delivery scheme, StreamOptix, and proposes a joint optimization algorithm for video delivery that leverages the characteristics of the physi…