{"ID":2863128,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2510.03312","arxiv_id":"2510.03312","title":"Universal Beta Splatting","abstract":"We introduce Universal Beta Splatting (UBS), a unified framework that generalizes 3D Gaussian Splatting to N-dimensional anisotropic Beta kernels for explicit radiance field rendering. Unlike fixed Gaussian primitives, Beta kernels enable controllable dependency modeling across spatial, angular, and temporal dimensions within a single representation. Our unified approach captures complex light transport effects, handles anisotropic view-dependent appearance, and models scene dynamics without requiring auxiliary networks or specific color encodings. UBS maintains backward compatibility by approximating to Gaussian Splatting as a special case, guaranteeing plug-in usability and lower performance bounds. The learned Beta parameters naturally decompose scene properties into interpretable without explicit supervision: spatial (surface vs. texture), angular (diffuse vs. specular), and temporal (static vs. dynamic). Our CUDA-accelerated implementation achieves real-time rendering while consistently outperforming existing methods across static, view-dependent, and dynamic benchmarks, establishing Beta kernels as a scalable universal primitive for radiance field rendering. Our project website is available at https://rongliu-leo.github.io/universal-beta-splatting/.","short_abstract":"We introduce Universal Beta Splatting (UBS), a unified framework that generalizes 3D Gaussian Splatting to N-dimensional anisotropic Beta kernels for explicit radiance field rendering. Unlike fixed Gaussian primitives, Beta kernels enable controllable dependency modeling across spatial, angular, and temporal dimensions...","url_abs":"https://arxiv.org/abs/2510.03312","url_pdf":"https://arxiv.org/pdf/2510.03312v3","authors":"[\"Rong Liu\",\"Zhongpai Gao\",\"Benjamin Planche\",\"Meida Chen\",\"Van Nguyen Nguyen\",\"Meng Zheng\",\"Anwesa Choudhuri\",\"Terrence Chen\",\"Yue Wang\",\"Andrew Feng\",\"Ziyan Wu\"]","published":"2025-09-30T22:03:22Z","proceeding":"cs.GR","tasks":"[\"cs.GR\",\"cs.CV\",\"eess.IV\"]","methods":"[]","has_code":false}
