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Tencent releases Hy-Nomas interactive video world model

AI summary

Tencent Hunyuan released Hy-Nomas under the Apache-2.0 license, an open-source video world model that generates videos segment by segment and supports multi-turn text instructions, camera trajectories, and persistent context through a KV cache. Its architecture combines a segment-autoregressive diffusion transformer, Qwen2.5-VL-7B-Instruct text encoding, camera-conditioning modules, and a fine-tuned PixelUMM decoder; a separate configuration supports inference on one NVIDIA GeForce RTX 4090 using INT8 weights and CPU offload. Tencent also released Hy-Nomas-Bench with 280 test cases covering free-form interaction, camera navigation, combined text-and-camera control, and spatial memory.

In-depth insight

Hy-Nomas combines long-context video generation, interactive text and camera control, open model assets, and a consumer-GPU deployment option, while the accompanying benchmark provides a structured way to evaluate these capabilities.

Computer Science > Computer Vision and Pattern Recognition

arXiv:2610.36729 (cs)

[Submitted on 27 Oct 2026]

Title:Hy-Nomas: Towards Free-form Interactive World Generation

Authors:Qiaoling Chen, Jiaxiang Cheng, Xueqing Deng, Tiankai Hang, Ji Hou, Jiaqi Li, Yifan Liu, Tao Lu, Junshu Tang, Yu Tang, Yao Teng, Yu Tian, Heng Wang, Weizhi Wang, Xiyao Wang, Xilun Wu, Mingyu Yang, Yangbin Yu, Rui Zhao, Longjun Cao, Linghao Chen, Haoyi Duan, Jiaming Han, Mingji Han, Enhua Jiang, Shunkai Li, Yanzhe Liang, Qinwei Ma, Cong Wang, Lei Wang, Bing Wu, Ke Xing, Ray Ying, Zhentao Yu, Key Zhang, Yuan Zhou, Zhengguang Zhou, Kai Zou

View a PDF of the paper titled Hy-Nomas: Towards Free-form Interactive World Generation, by Qiaoling Chen and 37 other authors

#Hy-Nomas#Tencent Hunyuan#Hy-Nomas-Bench#Qwen2.5-VL-7B-Instruct#PixelUMM#NVIDIA GeForce RTX 4090

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