Alexander Pondaven — accepted AI-conference papers

2025

MatchDiffusion: Training-free Generation of Match-Cuts

Alejandro Pardo, Fabio Pizzati, Tong Zhang, Alexander Pondaven, Philip Torr, Juan Camilo Perez +1

ICCV 2025poster

Match-cuts are powerful cinematic tools that create seamless transitions between scenes, delivering strong visual and metaphorical connections. However, crafting impactful match-cuts is a challenging and resource-intensive process that requires deliberate artistic planning throughout the production…

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2025

Video Motion Transfer with Diffusion Transformers

Alexander Pondaven, Aliaksandr Siarohin, Sergey Tulyakov, Philip Torr, Fabio Pizzati

CVPR 2025poster

We propose DiTFlow, a method for transferring the motion of a reference video to a newly synthesized one, designed specifically for Diffusion Transformers (DiT). We first process the reference video with a pre-trained DiT to analyze cross-frame attention maps and extract a patch-wise motion signal c…

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