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⚛️ Physics & Scientific Computing

🎞️ ECCV2026 · 4 paper notes

📌 Same area in other venues: 📷 CVPR2026 (2) · 🔬 ICLR2026 (69) · 🧪 ICML2026 (33) · 🤖 AAAI2026 (15) · 🧠 NeurIPS2025 (57) · 📹 ICCV2025 (2)

High-speed Imaging through Turbulence with Event-based Light Fields

Addressing the severe motion blur and geometric wobble when imaging dynamic scenes through atmospheric turbulence, this work presents the first event-only light field imaging system. By exploiting kaleidoscope optics to capture 9 sub-aperture views, it physically decouples cross-view correlated scene motion from uncorrelated turbulence perturbations, enabling crystal-clear video reconstruction at up to 12,000 fps under strong turbulence.

Resolution-Agnostic Neural Operators for Multi-Rate Sparse-View CT

This paper introduces Computed Tomography neural Operator (CTO), the first neural operator framework for sparse-view CT reconstruction that utilizes DISCO continuous convolutions and dual-domain spatial-frequency learning to achieve high-fidelity zero-shot generalization across measurement sampling rates and grid resolutions.

ELHINN: Unifying Dense Crowd Simulation Across Scales via Eulerian–Lagrangian Hydrodynamics

To bridge the fundamental disconnect between macroscopic collective coherence and microscopic individual realism in dense crowd simulation, ELHINN introduces a cross-scale hydrodynamics framework where an enhanced Eulerian velocity model (HINN++) guides a microscopic Lagrangian trajectory network (PINN) augmented with KAN residual correction and entrance-aware resampling.

Event-based Sparse-view Background-Oriented Schlieren Tomography

Addressing the high data bandwidth and intense illumination demands of frame-based background-oriented schlieren (BOS) tomography, this paper proposes the first event-based sparse-view BOS tomography framework (EventBOS), coupling a continuous 4D neural implicit fluid field with differentiable refractive ray tracing and thermal-convection Navier-Stokes regularization to reconstruct high-speed airflow dynamics that outperform 1000 fps frame-based baselines under single- and orthogonal dual-view setups.