Kiss3DGen: Repurposing Image Diffusion Models for 3D Asset Generation
Jiantao Lin, Xin Yang, Meixi Chen, Yingjie Xu, Dongyu Yan, Leyi Wu, Xinli Xu, Lie Xu, Shunsi Zhang, Ying-Cong Chen
摘要
Wow! They really can't see me under my invisible cloak Morning Hermione! What are you doing? Hi, Ron! I'm practicing my new spell Woofwoof! "Kiss3DGen!" "A magic-ball!" and "A candle" "A Potter Shiba dog!" "A red sofa" and "An owl" "A magic book!" Figure 1 . A 3D Harry Potter scene built with Kiss3DGen. Our proposed framework, KISS3DGen, is a unified 3D generation framework that facilitates various 3D generation tasks, including text-to-3D, image-to-3D, 3D enhancement, editing and more. Specifically, most of the assets in the figure is generated from text (captioned with abbreviated text prompts) or image (marked by dash lines) conditions, while the main characters (Hermoine, Ron and Potter) are created using a hybrid pipeline that combines image-to-3D and text-guided mesh editing. Please zoom in for details and refer to our main paper for a more introduction.
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引用它的顶会 Paper2
- Realiz3D: 3D Generation Made Photorealistic via Domain-Aware LearningIdo Sobol, Kihyuk Sohn, Yoav Blum, Egor Zakharov 等CVPR 2026 · 被引用 2 次
- DiMeR: Disentangled Mesh Reconstruction Model with Normal-only Geometry TrainingLutao Jiang, Jiantao Lin, Kanghao Chen, Wenhang Ge 等ICLR 2026
它引用的顶会 Paper34
- Learning Transferable Visual Models From Natural Language SupervisionAlec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh 等ICML 2021 · 被引用 47,906 次
- LoRA: Low-Rank Adaptation of Large Language ModelsEdward J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu 等ICLR 2022 · 被引用 18,833 次
- High-Resolution Image Synthesis with Latent Diffusion ModelsRobin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser 等CVPR 2022 · 被引用 13,123 次
- Photorealistic Text-to-Image Diffusion Models with Deep Language UnderstandingChitwan Saharia, William Chan, Saurabh Saxena, Lala Li 等NeurIPS 2022 · 被引用 8,965 次
- Adding Conditional Control to Text-to-Image Diffusion ModelsLvmin Zhang, Anyi Rao, Maneesh AgrawalaICCV 2023 · 被引用 6,759 次
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