Tagged articles

physical simulation

5 articles · Page 1 of 1
Machine Heart
Machine Heart
Aug 17, 2026 · Artificial Intelligence

From One Video to a Simulatable Dynamic World: OVOW’s 4D Reconstruction Breakthrough

OVOW (One Video, One World) converts ordinary monocular video into instance‑level 4D meshes with accurate geometry, scale, and motion, enabling editable, collidable scenes that can be placed into physics engines for simulation, editing, and data generation, as demonstrated on diverse benchmarks and real‑world examples.

4D reconstructionRoboticscomputer vision
0 likes · 9 min read
From One Video to a Simulatable Dynamic World: OVOW’s 4D Reconstruction Breakthrough
Machine Heart
Machine Heart
Apr 8, 2026 · Artificial Intelligence

From a Single Image to a Physically Realistic 4D Video in One Minute

PhysGM, a CVPR 2026 paper by Beijing Institute of Technology and Li Auto, transforms a single static image into a high‑fidelity 4D video that obeys real‑world physics in under a minute, using a dual‑decoder transformer, DPO alignment, and a newly built 50k‑item PhysAssets dataset, outperforming prior methods in speed and quality.

3D Gaussian SplattingCVPR 2026Direct Preference Optimization
0 likes · 7 min read
From a Single Image to a Physically Realistic 4D Video in One Minute
Kuaishou Large Model
Kuaishou Large Model
Jul 29, 2022 · Fundamentals

How Automatic Quantization Slashes Memory Use in High‑Resolution Physical Simulations

This article explains how researchers applied quantization techniques to high‑resolution physical simulations, enabling over 50% memory reduction without noticeable visual loss, by modeling error propagation, using constrained optimization, and introducing dithering, with results demonstrated on GPU‑based smoke, fluid, and elastic body simulations.

GPU memory optimizationSIGGRAPHcomputer graphics
0 likes · 6 min read
How Automatic Quantization Slashes Memory Use in High‑Resolution Physical Simulations
21CTO
21CTO
Jan 13, 2020 · Fundamentals

How 99 Lines of Code Let You Create Frozen‑Style Magic with Taichi

Taichi, a new CG programming language created by MIT PhD student Hu Yuanming, enables high‑performance physical simulation and differentiable programming with just a few dozen lines of code, dramatically outperforming TensorFlow and PyTorch, and has been showcased in SIGGRAPH, ICRA, ICLR papers and real‑time demos.

Differentiable ProgrammingMLSM‑MPMTaichi
0 likes · 10 min read
How 99 Lines of Code Let You Create Frozen‑Style Magic with Taichi