Author

Muntasir Wahed

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Jul 2026

GraphVid: Interactive Graph-Controllable Video Generation

GraphVid is introduced, a graph-conditioned image-to-video generation model that enables interactive control through structured interaction graphs that delivers strong controllability and video quality and highlights the potential of structured semantic interfaces as a powerful paradigm for controllable video generatio...

Vedant r Shah, O. Susladkar, Tushar Prakash et al. · arXiv.org · 0 citations

#artificial intelligence Preprint Sep 2026

One Editor, Many Edits: A Unified Training-Free Framework for Diverse Video Editing

Video editing spans diverse editing paradigms, yet achieving high-quality instruction-guided and subject-guided editing within a single unified framework remains challenging. We introduce EditVid, a training-free framework combining sparse causal memory for local coherence, correspondence-based post-attention token inj...

A. Juvekar, O. Susladkar, K. A. Nguyen et al. · 0 citations