A novel framework that integrates temporally consistent diffusion models with dynamic scene-graph guidance that structurally constrains the generative process, ensuring that objects, their attributes, and their interrelationships remain stable over extended durations is introduced.
Jacob A. Jenkins· Journal of innovative resear...· 0 citations
This work proposes an adapter-based framework that incorporates event-derived cues into a pre-trained image-to-video diffusion model with minimal architectural changes and consistently outperforms existing state-of-the-art approaches.
Gui-Xu Lin, Yu-Yang Yu, Xiang Ji et al.· 0 citations
Despite the success of diffusion models in Video Frame Interpolation (VFI), existing methods still suffer from two critical limitations. First, latent diffusion inevitably loses fine-grained details when reconstructing images from latent representations back to the pixel space. Second, multi-step sampling incurs prohib...
Zihao Zhang, Haoyu Zhao, Siqian Yang et al.· arXiv.org· 0 citations
MotionCraft is presented, a controllable VSR framework that formulates restoration as motion-aware latent state prediction inspired by world models and integrates adaptive sparse attention with an explicit user-accessible control interface to deliver temporally consistent, high-quality reconstructions under streaming c...
Rong Fu, Chun-Lei Meng, Yangcheng Zeng et al.· 1 citation
Coding Prior-enhanced Dual Conditioning branches are designed to jointly model compressed video and coding prior conditions, where coding priors including residuals and motion vectors provide complementary structural and motion guidance during the diffusion denoising process.
Wenqiang Xiao, Wenzhuo Ma, Junxi Zhang et al.· 0 citations
This work proposes LongE2V, a novel approach that leverages pre-trained video diffusion priors to jointly handle event-based video reconstruction, prediction, and frame interpolation, and introduces Autoregressive Unrolling and Adaptive Context Switching to mitigate temporal drift in extremely long sequences.
Cheng-De Fan, Chun-Wei Tuan Mu, Chen-Wei Chang et al.· International Conference on...· 0 citations
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