PhyT2V: LLM-Guided Iterative Self-Refinement for Physics-Grounded Text-to-Video Generation

30 November 2024

Papers citing "PhyT2V: LLM-Guided Iterative Self-Refinement for Physics-Grounded Text-to-Video Generation"

6 / 6 papers shown

Title
Reasoning Physical Video Generation with Diffusion Timestep Tokens via Reinforcement Learning Wang Lin Liyu Jia Wentao Hu Kaihang Pan Zhongqi Yue Wei Zhao Jingyuan Chen Fei Wu Hanwang Zhang VGen 35 0 0 22 Apr 2025
Can You Count to Nine? A Human Evaluation Benchmark for Counting Limits in Modern Text-to-Video Models Xuyang Guo Zekai Huang Jiayan Huo Yingyu Liang Zhenmei Shi Zhao-quan Song Jiahao Zhang ALM VGen 48 2 0 05 Apr 2025
VLIPP: Towards Physically Plausible Video Generation with Vision and Language Informed Physical Prior Xindi Yang Baolu Li Y. Zhang Zhenfei Yin Lei Bai ... Zhiyong Wang Jianfei Cai Tien-Tsin Wong Huchuan Lu Xu Jia DiffM VGen 34 0 0 30 Mar 2025
Exploring the Evolution of Physics Cognition in Video Generation: A Survey Minghui Lin Xiang Wang Y. Wang Shu Wang Fengqi Dai ... Cunxiang Wang Zhengrong Zuo Nong Sang Siteng Huang Donglin Wang EGVM VGen 69 3 0 27 Mar 2025
Synthetic Video Enhances Physical Fidelity in Video Synthesis Qi Zhao Xingyu Ni Ziyu Wang Feng Cheng Ziyan Yang Lu Jiang Bohan Wang VGen 33 2 0 26 Mar 2025
WISA: World Simulator Assistant for Physics-Aware Text-to-Video Generation Jing Wang Ao Ma Ke Cao Jun Zheng Zhanjie Zhang ... Yuhang Ma Bo Cheng Dawei Leng Yuhui Yin Xiaodan Liang VGen 73 3 0 11 Mar 2025