Entity · technique

Three-Body Scattering Modeling

techniqueactiveprovisionalthree-body-scattering-modeling-d570b535·1 events·first seen 16h ago

Aliases: Three-Body Scattering Modeling

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Drifting Models ImageNet-256 PixelDiT-XL DiT-XL

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N-body simulator 3D Gaussian Splatting Geometry3K Drifting Models Random Energy Model Geometric Action Model Message Passing Language Models Joint Energy-Based Models (JEMs)Shuffle Model Sparse-structure Multimodal Diffusion Transformer Phi4-Multimodal Language Modeling Loss

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6arXiv · cs.LG·16h ago·source ↗

Three-Body Scattering Modeling achieves state-of-the-art one-step image generation on ImageNet-256

A new arXiv preprint introduces Three-Body Scattering Modeling (TBSM), a generative modeling framework that uses energy distance to induce sample-level motion and provide regression supervision for one-step generators, without adversarial critics, prescribed noise paths, or autoregressive factorization. Each 'projectile' sample is attracted toward a real source and repelled from an independently generated source, with the expectation corresponding to the 2-Wasserstein gradient-flow velocity. On ImageNet-256, TBSM achieves FID=2.23 with PixelDiT-XL and FID=1.63 with latent DiT-XL at a single function evaluation (NFE=1), competitive with or surpassing multi-step diffusion methods. The work establishes a new design space connecting diffusion, drift-like, and GAN-like objectives for high-dimensional one-step generation.

Frontier Model Releases Inference Economics Drifting Models Three-Body Scattering Modeling ImageNet-256 +2 more