Official implementation of Prism-MoE, an efficient dense-to-MoE conversion framework for visual autoregressive generation. ICML 2026 Poster.
-
Updated
Jul 3, 2026 - Python
Official implementation of Prism-MoE, an efficient dense-to-MoE conversion framework for visual autoregressive generation. ICML 2026 Poster.
W4A4 and INT8 KV-cache quantization for Infinity VAR models. Optimized for high-fidelity generative AI deployment on edge GPUs (e.g. NVIDIA Jetson).
Research code for the Dynamic Mixture-of-Experts in Visual Autoregressive Models paper.
To associate your repository with the visual-autoregressive-model topic, visit your repo's landing page and select "manage topics."