MiniMax H3, an open‑source multimodal video model, achieves SOTA performance, supports text, image and video inputs with native stereo audio, costs as low as 0.5 CNY per second, and demonstrates seamless editing capabilities that rival traditional After Effects workflows.
UniVidX, a unified multimodal framework for video generation and understanding accepted at SIGGRAPH 2026, reformulates diverse video graphics tasks as conditional generation, achieving or surpassing state‑of‑the‑art performance while demonstrating strong data efficiency and cross‑domain generalization.
UnityVideo, a new vision framework from HKUST, CUHK, Tsinghua and Kuaishou, unifies training across depth, flow, pose, segmentation and RGB modalities, achieving faster convergence, higher video quality, zero‑shot generalization and stronger physical reasoning compared with existing single‑modality video generators.
The article introduces HuMo‑1.7B, a multimodal video generation framework that jointly processes text, reference images, and audio, achieves SOTA performance on several sub‑tasks, and provides a step‑by‑step tutorial for running the model on the HyperAI platform with detailed resource and parameter guidance.
