activity
20242026
collaborators

12 papers

cs.CV2026

FracEvent: Event-Camera Simulation via Fractional-Relaxation Pixel Dynamics

Langyi Chen, Chuanzhi Xu, Haoxian Zhou +6

Event cameras asynchronously report brightness changes with microsecond-level temporal resolution, but real event data remain difficult to collect at scale because specialized sens…

cs.SD2026

DynFOA: Generating First-Order Ambisonics with Conditional Diffusion for Dynamic and Acoustically Complex 360-Degree Videos

Ziyu Luo, Lin Chen, Qiang Qu +2

Spatial audio is crucial for immersive 360-degree video experiences, yet most 360-degree videos lack it due to the difficulty of capturing spatial audio during recording. Automatic…

cs.SD2026

DynFOA: Generating First-Order Ambisonics with Conditional Diffusion for Dynamic and Acoustically Complex 360-Degree Videos

Ziyu Luo, Lin Chen, Qiang Qu +2

Spatial audio is crucial for immersive 360-degree video experiences, yet most 360-degree videos lack it due to the difficulty of capturing spatial audio during recording. Automatic…

eess.IV2026

Less is More: Skim Transformer for Light Field Image Super-resolution

Zeke Zexi Hu, Haodong Chen, Hui Ye +4

A light field image captures scenes through its micro-lens array, providing a rich representation that encompasses spatial and angular information. While this richness comes at sig…

eess.IV2025

Beyond Subspace Isolation: Many-to-Many Transformer for Light Field Image Super-resolution

Zeke Zexi Hu, Xiaoming Chen, Vera Yuk Ying Chung +1

The effective extraction of spatial-angular features plays a crucial role in light field image super-resolution (LFSR) tasks, and the introduction of convolution and Transformers l…

cs.CV2025

NVS-SQA: Exploring Self-Supervised Quality Representation Learning for Neurally Synthesized Scenes without References

Qiang Qu, Yiran Shen, Xiaoming Chen +3

Neural View Synthesis (NVS), such as NeRF and 3D Gaussian Splatting, effectively creates photorealistic scenes from sparse viewpoints, typically evaluated by quality assessment met…