arXiv Computer Vision

A Differentiable Ray-Wave Framework for Hybrid Refractive-Diffractive System Modeling and Optimization

arXiv Computer Vision
Aug 28

RefracGS: Novel View Synthesis Through Refractive Water Surfaces with 3D Gaussian Ray Tracing

RefracGS is a novel framework for generating novel views through refractive water surfaces. It jointly reconstructs the water surface using a neural height field and the underlying scene with a 3D Gaussian field, employing refraction‑aware Gaussian ray tracing based on Snell’s law. The method achieves high‑fidelity view synthesis, outperforms prior refractive approaches, and offers 15× faster training with real‑time rendering at 200 FPS.

By Yiming Shao, Qiyu Dai, Chong Gao, Guanbin Li, Yequan Wang, He Sun, Qiong Zeng, Baoquan Chen, Wenzheng Chen
arXiv Machine Learning
Sep 11

A Two-Mirror Faceted Projection System for EUV Lithography

The paper proposes an all‑reflective two‑mirror projection system for EUV lithography that achieves a 4× demagnification at a numerical aperture close to unity (NA≈0.993). Unlike conventional EUV objectives that use 6–10 aspheric mirrors and have <15 % throughput, the design uses a fixed two‑reflection path for each accepted diffraction order, retaining 50–60 % of the power and eliminating order‑dependent phase shifts. The authors optimize 30‑bilayer Bragg coatings for each mirror facet, formulate a 3‑D vector model for a two‑dimensionally periodic mask, and use inverse lithography with a differentiable modal solver to demonstrate simulated sub‑10‑nm aerial images with resolved peaks up to 5 nm defocus.

By Vasiliy A. Es'kin, Egor V. Ivanov, Olga V. Martynova
arXiv AI
Jun 3

Ref-DGS: Reflective Dual Gaussian Splatting

arXiv:2603. 07664v3 Announce Type: replace-cross Abstract: The reflective appearance, especially strong and typically near-field specular reflections, poses a fundamental challenge for accurate surface reconstruction and novel view synthesis.

By Ningjing Fan, Yiqun Wang, Dongming Yan, Peter Wonka
arXiv Machine Learning
Aug 28

Towards a universal meta-optics solver via large language models

The paper introduces a unified large language model workflow for modeling and inverse-design of metasurfaces across multiple families. By converting geometries, design parameters, and optical responses into a shared instruction‑following text format, the authors fine‑tune Gemma‑2‑9B on eight distinct metasurface families. Compared to single‑family models, the joint model predicts all families’ optical responses simultaneously and reduces mean‑squared error by an average of 56.5%. "whyItMatters":"The approach demonstrates that a shared sequence‑based LLM interface can streamline cross‑family metasurface design, eliminating the need for separate surrogate architectures for each geometry class."

By Huanshu Zhang, Lei Kang, Yuyan Chen, Luxiang Wang, Zhaolong Cao, Douglas H. Werner
arXiv Machine Learning
Sep 11

Hologram Representation via Quadratic Phase Gaussian Splatting

The paper introduces Complex-Valued Quadratic Phase Gaussian (CVQPG), a new hologram representation that replaces standard 2D Gaussian splatting with 2D quadratic phase functions. CVQPG adds learnable parameters to control the curvature of these bases, and the authors demonstrate that it improves visual quality by +0.19 dB (RGB) and +0.33 dB (grayscale) over state‑of‑the‑art methods while keeping the same parameter count. Frequency‑domain analysis shows that CVQPG preserves the mid‑to‑high frequency band of natural images.

By Haolong Wang, Yicheng Zhan, Kaan Ak\c{s}it, Simeng Qiu
arXiv Computer Vision
Sep 28

Light Field Primitive for Novel View Synthesis

arXiv:2609.31198v1 Announce Type: new Abstract: We present Light Field Primitives (LFP), a formulation for novel view synthesis that replaces the dense ray database with a compact set of differentiab...

By Liang Chen, Jiahui Ning, Xun Jiang, Xing Xu, Jimmy Ren, Fenglei Fan, Heng Tao Shen
arXiv Computer Vision
Sep 1

Compact Snapshot Spectral Imaging with Calibration-Free Aperture Diffraction

The paper introduces ADIS, a compact, cost‑effective, calibration‑free snapshot spectral imaging system that uses only a diffractive lens, a binary mask, and a Bayer‑filtered sensor. ADIS disperses and multiplexes wavelengths, mapping energy to distinct sensor locations, and employs theoretically computed PSFs for calibration‑free spectral reconstruction. The authors further present the Orthogonal Diffraction‑Aware Unfolding Voxel Shift Transformer (ODAUVST) to solve the sparsely‑constrained inverse problem, achieving full‑resolution recovery with reduced parameters and demonstrating superior performance in real SSI experiments.

By Tao Lv, Quan Yuan, Shiqiao Li, Chenglong Huang, Linsen Chen, Chongde Zi, Shuming Wang, Xun Cao