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Ditch optical flow for image alignment: DMAligner leverages diffusion models to synthesize novel views, sidestepping traditional warping's occlusion and illumination woes.
Achieve accurate crowd counting from a moving train camera by explicitly modeling physically plausible 3D motion, outperforming methods that ignore these constraints.
