SSG-Dit: A Spatial Signal Guided Framework for Controllable Video Generation

• URL: http://arxiv.org/abs/2508.17062v1
• Date: Sat, 23 Aug 2025 15:30:17 GMT
• Title: SSG-Dit: A Spatial Signal Guided Framework for Controllable Video Generation
• Authors: Peng Hu, Yu Gu, Liang Luo, Fuji Ren,
• Abstract summary: Controllable video generation aims to synthesize video content that aligns precisely with user-provided conditions.<n>Existing models often struggle to maintain strong semantic consistency.<n>We propose SSG-DiT, a novel and efficient framework for high-fidelity controllable video generation.
• Score: 22.1310564466224
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Controllable video generation aims to synthesize video content that aligns precisely with user-provided conditions, such as text descriptions and initial images. However, a significant challenge persists in this domain: existing models often struggle to maintain strong semantic consistency, frequently generating videos that deviate from the nuanced details specified in the prompts. To address this issue, we propose SSG-DiT (Spatial Signal Guided Diffusion Transformer), a novel and efficient framework for high-fidelity controllable video generation. Our approach introduces a decoupled two-stage process. The first stage, Spatial Signal Prompting, generates a spatially aware visual prompt by leveraging the rich internal representations of a pre-trained multi-modal model. This prompt, combined with the original text, forms a joint condition that is then injected into a frozen video DiT backbone via our lightweight and parameter-efficient SSG-Adapter. This unique design, featuring a dual-branch attention mechanism, allows the model to simultaneously harness its powerful generative priors while being precisely steered by external spatial signals. Extensive experiments demonstrate that SSG-DiT achieves state-of-the-art performance, outperforming existing models on multiple key metrics in the VBench benchmark, particularly in spatial relationship control and overall consistency.

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