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cs.CV2024
Semantic Score Distillation Sampling for Compositional Text-to-3D Generation
Ling Yang, Zixiang Zhang, Junlin Han +4
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 a…
cs.CV2024
Trans4D: Realistic Geometry-Aware Transition for Compositional Text-to-4D Synthesis
Bohan Zeng, Ling Yang, Siyu Li +9
Recent advances in diffusion models have demonstrated exceptional capabilities in image and video generation, further improving the effectiveness of 4D synthesis. Existing 4D gener…