most citedAn Adjoint Method for Differentiable Fluid Simulation on Flow Maps

3 citations · 3 across the 5 of their papers we have counts for

collaborators

10 papers

cs.CV2026

LoCoSplat: Real-Time Feed-Forward 3D Gaussian Splatting with Minimal 3D Reasoning

Sinan Wang, Jinjin He, Yuchen Sun +3

Feed-forward 3D Gaussian Splatting (3DGS) increasingly aggregates multi-view evidence with heavy learned 3D networks. We propose LoCoSplat (Local-Context Splatting), motivated by t…

cs.CV2026

Audible World Models: Spatially Aware Sound Generation for 3D Worlds

Duowen Chen, Jinjin He, Gouthaman KV +2

Text- and image-conditioned world generators can create visually rich 3D environments, yet these worlds often remain silent or rely on soundtracks synthesized solely from text or r…

cs.LG2026

Neural Harmonic Measure Operator

Jinjin He, Sinan Wang, Yuchen Sun +1

We introduce Neural Harmonic Measure Operator (NHMO), a neural solver for elliptic PDE problems on variable-shape domains. The harmonic measure of a domain is the boundary probabil…

cs.DC2026

GPUPhysBench: Benchmarking Coding Agents for Correct and Efficient GPU Physics Simulation

Yuchen Sun, Jinjin He, Sinan Wang +1

Writing fast GPU code for physical simulation is difficult: implementations must preserve numerical accuracy while handling irregular data access, synchronization, and iterative so…

cs.GR2026

Hamiltonian Two-Way Coupling of Nonlinear Waves and 3D Flows

Sinan Wang, Ruicheng Wang, Taiyuan Zhang +5

Simulating large-scale free-surface water by coupling a localized 3D fluid solver to a cheaper 2D surface model has long faced a mismatch in wave dynamics: efficient 2D wave models…

cs.LG2026

Hermite-NGP: Gradient-Augmented Hash Encoding for Learning PDEs

Jinjin He, Zhiqi Li, Sinan Wang +1

We propose Hermite-NGP, a gradient-augmented multi-resolution hash encoding designed to enable fast and accurate computation of spatial derivatives for neural PDE solvers. Unlike e…

cs.GR2026

Generative Modeling with Orbit-Space Particle Flow Matching

Sinan Wang, Jinjin He, Shenyifan Lu +3

We present Orbit-Space Geometric Probability Paths (OGPP), a particle-native flow-matching framework for generative modeling of particle systems. OGPP is motivated by two insights:…

cs.LG2026

Trajectory Consistency for One-Step Generation on Euler Mean Flows

Zhiqi Li, Yuchen Sun, Duowen Chen +2

We propose \emph{Euler Mean Flows (EMF)}, a flow-based generative framework for one-step and few-step generation that enforces long-range trajectory consistency with minimal sampli…

physics.comp-ph2026

A Level Set Method on Particle Flow Maps

Jinjin He, Taiyuan Zhang, Zhiqi Li +3

Accurate interface tracking is central to numerical simulations involving moving boundaries, including multiphase flows, free-surface dynamics, phase-change problems, and other int…

cs.GR2025★ 3 cited

An Adjoint Method for Differentiable Fluid Simulation on Flow Maps

Zhiqi Li, Jinjin He, Barnabás Börcsök +6

This paper presents a novel adjoint solver for differentiable fluid simulation based on bidirectional flow maps. Our key observation is that the forward fluid solver and its corres…