5 papers
A Generalizable Light Transport 3D Embedding for Global Illumination
Bing Xu, Mukund Varma T, Cheng Wang +5
Global illumination (GI) is essential for realistic rendering but remains computationally expensive due to the complexity of simulating indirect light transport. Recent neural meth…
Physically Accurate Differentiable Inverse Rendering for Radio Frequency Digital Twin
Xingyu Chen, Xinyu Zhang, Kai Zheng +4
Digital twins, virtual simulated replicas of physical scenes, are transforming system design across industries. However, their potential in radio frequency (RF) systems has been li…
Spectral Prefiltering of Neural Fields
Mustafa B. Yaldiz, Ishit Mehta, Nithin Raghavan +3
Neural fields excel at representing continuous visual signals but typically operate at a single, fixed resolution. We present a simple yet powerful method to optimize neural fields…
Differentiable Light Transport with Gaussian Surfels via Adapted Radiosity for Efficient Relighting and Geometry Reconstruction
Kaiwen Jiang, Jia-Mu Sun, Zilu Li +3
Radiance fields have gained tremendous success with applications ranging from novel view synthesis to geometry reconstruction, especially with the advent of Gaussian splatting. How…
A Differentiable Wave Optics Model for End-to-End Computational Imaging System Optimization
Chi-Jui Ho, Yash Belhe, Steve Rotenberg +3
End-to-end optimization, which simultaneously optimizes optics and algorithms, has emerged as a powerful data-driven method for computational imaging system design. This method ach…