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Generality of SG-I2V beyond Stable Video Diffusion

Ascertain whether SG-I2V (Self-Guided Trajectory Control in Image-to-Video Generation) generalizes from its demonstration on Stable Video Diffusion–specific layers to other image-to-video diffusion backbones, determining the extent to which its trajectory-control mechanism can be applied across architectures.

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Background

In discussing training-free motion control approaches, the paper reviews SG-I2V, which replaces spatial self-attention keys/values with those of the first frame and optimizes a latent with a box-restricted similarity loss. The authors note that SG-I2V is demonstrated on SVD-specific layers and explicitly state uncertainty about its generality across other backbones.

Given the importance of plug-and-play methods that work across different image-to-video diffusion architectures, establishing whether SG-I2V’s technique transfers beyond SVD remains an open question highlighted in the paper.

References

This method is demonstrated on SVD-specific layers, so generality for other backbones is unclear; moreover, as shown in Sec. \ref{sec:obj-motion}, it often induces unintended camera motion.

Time-to-Move: Training-Free Motion Controlled Video Generation via Dual-Clock Denoising (2511.08633 - Singer et al., 9 Nov 2025) in Section 2 (Related Work, Training-free Motion-controllable video generation)