Paper "video generation" Papers

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CoCoCo: Improving Text-Guided Video Inpainting for Better Consistency, Controllability and Compatibility

Bojia Zi, Shihao Zhao, Xianbiao Qi et al.

AAAI 2025paperarXiv:2403.12035
39
citations

EditBoard: Towards a Comprehensive Evaluation Benchmark for Text-Based Video Editing Models

Yupeng Chen, Penglin Chen, Xiaoyu Zhang et al.

AAAI 2025paperarXiv:2409.09668
4
citations

MCGAN: Enhancing GAN Training with Regression-Based Generator Loss

Baoren Xiao, Hao Ni, Weixin Yang

AAAI 2025paperarXiv:2405.17191
3
citations

TCAQ-DM: Timestep-Channel Adaptive Quantization for Diffusion Models

Haocheng Huang, Jiaxin Chen, Jinyang Guo et al.

AAAI 2025paperarXiv:2412.16700
3
citations

VQ4DiT: Efficient Post-Training Vector Quantization for Diffusion Transformers

Juncan Deng, Shuaiting Li, Zeyu Wang et al.

AAAI 2025paperarXiv:2408.17131
11
citations

Learn the Force We Can: Enabling Sparse Motion Control in Multi-Object Video Generation

Aram Davtyan, Paolo Favaro

AAAI 2024paperarXiv:2306.03988
7
citations