Výsledky vyhledávání - "Zhang, Zixiang"

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Semantic Score Distillation Sampling for Compositional Text-to-3D Generation

Autor: Yang, Ling, Zhang, Zixiang, Han, Junlin, Zeng, Bohan, Li, Runjia, Torr, Philip, Zhang, Wentao

Generating high-quality 3D assets from textual descriptions remains a pivotal challenge in computer graphics and vision research. Due to the scarcity of 3D data, state-of-the-art approaches utilize pre-trained 2D diffusion priors, optimized through S

Externí odkaz: http://arxiv.org/abs/2410.09009

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Trans4D: Realistic Geometry-Aware Transition for Compositional Text-to-4D Synthesis

Autor: Zeng, Bohan, Yang, Ling, Li, Siyu, Liu, Jiaming, Zhang, Zixiang, Tian, Juanxi, Zhu, Kaixin, Guo, Yongzhen, Wang, Fu-Yun, Xu, Minkai, Ermon, Stefano, Zhang, Wentao

Recent advances in diffusion models have demonstrated exceptional capabilities in image and video generation, further improving the effectiveness of 4D synthesis. Existing 4D generation methods can generate high-quality 4D objects or scenes based on

Externí odkaz: http://arxiv.org/abs/2410.07155

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Consistency Flow Matching: Defining Straight Flows with Velocity Consistency

Autor: Yang, Ling, Zhang, Zixiang, Zhang, Zhilong, Liu, Xingchao, Xu, Minkai, Zhang, Wentao, Meng, Chenlin, Ermon, Stefano, Cui, Bin

Flow matching (FM) is a general framework for defining probability paths via Ordinary Differential Equations (ODEs) to transform between noise and data samples. Recent approaches attempt to straighten these flow trajectories to generate high-quality

Externí odkaz: http://arxiv.org/abs/2407.02398

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