视频大模型

SparseDM: Toward Sparse Efficient Diffusion Models

Kafeng Wang, Jianfei Chen, He Li, Zhenpeng Mi, Jun Zhu

专题命中 视频扩散模型 ：video generation(abstract)

Comments This paper has been accepted by ICME 2025

AB-Cache: Training-Free Acceleration of Diffusion Models via Adams-Bashforth Cached Feature Reuse

Zichao Yu, Zhen Zou, Guojiang Shao, Chengwei Zhang, Shengze Xu, Jie Huang, Feng Zhao, Xiaodong Cun, Wenyi Zhang

专题命中 视频扩散模型 ：video diffusion(abstract)

Diffusion-based subsurface CO$_2$ multiphysics monitoring and forecasting

Xinquan Huang, Fu Wang, Tariq Alkhalifah

专题命中 视频扩散模型 ：video diffusion(abstract)

Comments JGR: Machine Learning and Computation, accepted

Text-to-Model: Text-Conditioned Neural Network Diffusion for Train-Once-for-All Personalization

Zexi Li, Lingzhi Gao, Chao Wu

专题命中 视频扩散模型 ：text-to-video(abstract)

Comments Preprint

PSyDUCK: Training-Free Steganography for Latent Diffusion

Aqib Mahfuz, Georgia Channing, Mark van der Wilk, Philip Torr, Fabio Pizzati, Christian Schroeder de Witt

专题命中 视频扩散模型 ：video diffusion(abstract)

Diffusion Transformer Captures Spatial-Temporal Dependencies: A Theory for Gaussian Process Data

Hengyu Fu, Zehao Dou, Jiawei Guo, Mengdi Wang, Minshuo Chen

专题命中 视频扩散模型 ：video generation(abstract)

Comments 56 pages, 13 figures

Playable Game Generation

Mingyu Yang, Junyou Li, Zhongbin Fang, Sheng Chen, Yangbin Yu, Qiang Fu, Wei Yang, Deheng Ye

专题命中 视频扩散模型 ：text-to-video(abstract)

Fisher Flow Matching for Generative Modeling over Discrete Data

Oscar Davis, Samuel Kessler, Mircea Petrache, İsmail İlkan Ceylan, Michael Bronstein, Avishek Joey Bose

专题命中 视频扩散模型 ：video generation(abstract)

Comments NeurIPS 2024

Closed-Loop Visuomotor Control with Generative Expectation for Robotic Manipulation

Qingwen Bu, Jia Zeng, Li Chen, Yanchao Yang, Guyue Zhou, Junchi Yan, Ping Luo, Heming Cui, Yi Ma, Hongyang Li

专题命中 视频扩散模型 ：video diffusion(abstract)

Comments Accepted at NeurIPS 2024. Code and models: https://github.com/OpenDriveLab/CLOVER

Nonlinear Inverse Design of Mechanical Multi-Material Metamaterials Enabled by Video Denoising Diffusion and Structure Identifier

Jaewan Park, Shashank Kushwaha, Junyan He, Seid Koric, Qibang Liu, Iwona Jasiuk, Diab Abueidda

专题命中 视频扩散模型 ：video diffusion(abstract)

Comments 26 pages, 15 figures

Video-to-Audio Generation with Fine-grained Temporal Semantics

Yuchen Hu, Yu Gu, Chenxing Li, Rilin Chen, Dong Yu

专题命中 视频扩散模型 ：video generation(abstract)

Turning Text and Imagery into Captivating Visual Video

Mingming Wang, Elijah Miller

专题命中 视频扩散模型 ：video diffusion(abstract)

Denoising Diffusion Probabilistic Models in Six Simple Steps

Richard E. Turner, Cristiana-Diana Diaconu, Stratis Markou, Aliaksandra Shysheya, Andrew Y. K. Foong, Bruno Mlodozeniec

专题命中 视频扩散模型 ：video generation(abstract)

Inverse-design of nonlinear mechanical metamaterials via video denoising diffusion models

Jan-Hendrik Bastek, Dennis M. Kochmann

专题命中 视频扩散模型 ：video diffusion(abstract)

Comments 21 pages, 3 figures

Compositional Foundation Models for Hierarchical Planning

Anurag Ajay, Seungwook Han, Yilun Du, Shuang Li, Abhi Gupta, Tommi Jaakkola, Josh Tenenbaum, Leslie Kaelbling, Akash Srivastava, Pulkit Agrawal

专题命中 视频扩散模型 ：video diffusion(abstract)

Comments Website: https://hierarchical-planning-foundation-model.github.io/

SciRE-Solver: Accelerating Diffusion Models Sampling by Score-integrand Solver with Recursive Difference

Shigui Li, Wei Chen, Delu Zeng

专题命中 视频扩散模型 ：video generation(abstract)

Generative Diffusion Models on Graphs: Methods and Applications

Chengyi Liu, Wenqi Fan, Yunqing Liu, Jiatong Li, Hang Li, Hui Liu, Jiliang Tang, Qing Li

专题命中 视频扩散模型 ：video generation(abstract)

Comments This survey paper is accepted by IJCAI 2023

SeqDiffuSeq: Text Diffusion with Encoder-Decoder Transformers

Hongyi Yuan, Zheng Yuan, Chuanqi Tan, Fei Huang, Songfang Huang

专题命中 视频扩散模型 ：video generation(abstract)

Comments Under Review