Physics-Based Differentiable RenderingA Comprehensive Introduction Shuang Zhao1, Wenzel Jakob2, and Tzu-Mao Li3 1University of California, Irvine 2EPFL 3MIT CSAIL SIGGRAPH 2020 Course Abstract Physics-based rendering algorithms generate photorealistic images by simulating the flow of light through a ...
Our primary contributions include the proposed efficient differentiable rendering framework and improved coupled density and velocity estimation strategy. Rather than relying on automatic differentiation, we derive the differential form of the radiance transfer equation under single scattering. This allows...
Dress-1-to-3: Single Image to Simulation-Ready 3D Outfit with Diffusion Prior and Differentiable Physics Offset Geometric Contact Geometric Contact Potential Elastic Locomotion with Mixed Second-order Differentiation Real-Time Knit Deformation and Rendering ...
Differentiable LBM Kernels:XLB provides differentiable LBM kernels that can be used in differentiable physics and deep learning applications. Scalability:XLB is capable of scaling on distributed multi-GPU systems using the JAX backend, enabling the execution of large-scale simulations on hundreds of GPUs...
"Difftaichi: Differentiable programming for physical simulation." arXiv preprint arXiv:1910.00935 (2019). [6] Li, Xuan, et al. "Pac-nerf: Physics augmented continuum neural radiance fields for geometry-agnostic system identification." arXiv preprint arXiv:2303.05512 (2023). [7] Zhong, Licheng,...
In this work, we used differentiable physics to recover the spatially varying elastic modulus field of a model beam from its static displacement. We demonstrated that this approach is effective for finding structures with matching displacement fields and studied its limitations in recovering homogeneous ...
Our OSC implementation is fully differentiable in Isaac Gym and we obtain convergence with this controller in under 25 minutes. Figure 12 shows the training results. 6.4 Robotic Hands Figure 13: The three in-hand manipulation environments implemented in Isaac Gym: Shadow Hand, Trifinger, and ...
Recently, great progress has been made in physics-based differentiable rendering. Existing differentiable rendering techniques typically focus on static scenes, but during inverse rendering---a key application for differentiable rendering---the scene is updated dynamically by each gradient step. In this ...
Our contribution consists of a novel methodology for retrieving a continuous echogenicity map directly from a B-mode image through a differentiable physics-based rendering pipeline for ultrasound resolution enhancement. We qualitatively and quantitatively evaluate our approach on synthetic data, demonstrating ...
In this paper, spectral variation is considered from a physics-based approach and incorporated into an end-to-end spectral unmixing algorithm via differentiable programming. The dispersion model is introduced to simulate realistic spectral variation, and an efficient method to fit the parameters is ...