Summary of Matchdiffusion: Training-free Generation Of Match-cuts, by Alejandro Pardo et al.
MatchDiffusion: Training-free Generation of Match-cutsby Alejandro Pardo, Fabio Pizzati, Tong Zhang, Alexander Pondaven, Philip Torr,…
MatchDiffusion: Training-free Generation of Match-cutsby Alejandro Pardo, Fabio Pizzati, Tong Zhang, Alexander Pondaven, Philip Torr,…
MARVEL-40M+: Multi-Level Visual Elaboration for High-Fidelity Text-to-3D Content Creationby Sankalp Sinha, Mohammad Sadil Khan, Muhammad…
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A solvable generative model with a linear, one-step denoiserby Indranil HalderFirst submitted to arxiv on:…
CLOVER: Cross-Layer Orthogonal Vectors Pruning and Fine-Tuningby Fanxu Meng, Pingzhi Tang, Fan jiang, Muhan ZhangFirst…
Rewiring Techniques to Mitigate Oversquashing and Oversmoothing in GNNs: A Surveyby Hugo Attali, Davide Buscaldi,…
Towards Precise Scaling Laws for Video Diffusion Transformersby Yuanyang Yin, Yaqi Zhao, Mingwu Zheng, Ke…
Unlocking the Potential of Text-to-Image Diffusion with PAC-Bayesian Theoryby Eric Hanchen Jiang, Yasi Zhang, Zhi…
On Statistical Rates of Conditional Diffusion Transformers: Approximation, Estimation and Minimax Optimalityby Jerry Yao-Chieh Hu,…
From Graph Diffusion to Graph Classificationby Jia Jun Cheng Xian, Sadegh Mahdavi, Renjie Liao, Oliver…