[CVPR 2026] Towards Real-Time Diffusion-Based Streaming Video Super-Resolution — An efficient one-step diffusion framework for streaming VSR with locality-constrained sparse attention and a tiny conditional decoder.
Structured decisions with DiffusionGemma and vLLM. Native image inputs, image choices, live camera sampling, and a compact one-step inference path.
One-step Turkish text-to-speech trained with a drifting objective (Kyutai learned-temperature recipe)
PyTorch implementation of MeanFlow & iMF (one-step generative modeling).