Lumos-Nexus: A Training-Efficient Two-Stage Framework for High-Fidelity Video Generation with Reasoning Capabilities
By
[Submitted on 29 May 2026]
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Summary
Lumos-Nexus is a training-efficient unified video generation framework that addresses the computational challenge of integrating large high-fidelity generators into unified training loops. It uses a two-stage design: (1) training with only a lightweight generator aligned with the understanding block for reasoning-driven semantic control, and (2) inference using Unified Progressive Frequency Bridging (UPFB) to progressively hand off generation to a high-capacity pretrained generator in shared latent space for coarse-to-fine refinement. The paper also introduces VR-Bench, a new benchmark for reasoning-driven video generation. Experiments show gains in visual realism and temporal coherence on VBench, with strong reasoning-based generative performance on VR-Bench.
Key quotes
· 4 pulledWe therefore propose Lumos-Nexus, a training-efficient unified video generation framework that facilitates the development of strong reasoning-driven generation capabilities while significantly enhancing visual fidelity.
Lumos-Nexus adopts a two-stage design: 1) During training, only a lightweight generator is aligned with the understanding block to learn to take in reasoning-driven semantic control. 2) During inference, we introduce Unified Progressive Frequency Bridging (UPFB) to progressively hand off generation to a high-capacity pretrained generator in the shared latent space, enabling coarse-to-fine refinement and producing high-fidelity videos without compromising reasoning quality.
To fill the gap in reasoning-driven video generation benchmarks, we introduce VR-Bench, which assesses a model's capability to translate inferred intent into coherent and semantically aligned video content.
Extensive experiments demonstrate that Lumos-Nexus achieves substantial gains in visual realism and temporal coherence on VBench, while exhibiting strong reasoning-based generative performance on VR-Bench.
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