Csgnet: Neural shape parser for constructive solid geometry G Sharma, R Goyal, D Liu, E Kalogerakis, S Maji Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 235 | 2018 |
LRM: Large Reconstruction Model for Single Image to 3D Y Hong, K Zhang, J Gu, S Bi, Y Zhou, D Liu, F Liu, K Sunkavalli, T Bui, ... arXiv preprint arXiv:2311.04400, 2023 | 229 | 2023 |
ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds G Sharma, D Liu, S Maji, E Kalogerakis, S Chaudhuri, R Mėch European Conference on Computer Vision, 261-276, 2020 | 144 | 2020 |
Deep part induction from articulated object pairs L Yi, H Huang, D Liu, E Kalogerakis, H Su, L Guibas ACM Transactions on Graphics (TOG) 37 (6), 2018 | 106 | 2018 |
Neural Contours: Learning to Draw Lines from 3D Shapes D Liu, M Nabail, A Hertzmann, E Kalogerakis Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 43 | 2020 |
Neural Strokes: Stylized Line Drawing of 3D Shapes D Liu, M Fisher, A Hertzmann, E Kalogerakis Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 25 | 2021 |
Customize-A-Video: One-Shot Motion Customization of Text-to-Video Diffusion Models Y Ren, Y Zhou, J Yang, J Shi, D Liu, F Liu, M Kwon, A Shrivastava arXiv preprint arXiv:2402.14780, 2024 | 16 | 2024 |
ASSET: Autoregressive Semantic Scene Editing with Transformers at High Resolutions D Liu, S Shetty, T Hinz, M Fisher, R Zhang, T Park, E Kalogerakis ACM Transactions on Graphics (TOG) 41 (4), 2022 | 10 | 2022 |
Neural shape parsers for constructive solid geometry G Sharma, R Goyal, D Liu, E Kalogerakis, S Maji IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 | 8 | 2020 |
VecFusion: Vector Font Generation with Diffusion V Thamizharasan, D Liu, S Agarwal, M Fisher, M Gharbi, O Wang, ... arXiv preprint arXiv:2312.10540, 2023 | 7 | 2023 |
Attention-Driven Training-Free Efficiency Enhancement of Diffusion Models H Wang, D Liu, Y Kang, Y Li, Z Lin, NK Jha, Y Liu arXiv preprint arXiv:2405.05252, 2024 | 5 | 2024 |
VideoGigaGAN: Towards Detail-rich Video Super-Resolution Y Xu, T Park, R Zhang, Y Zhou, E Shechtman, F Liu, JB Huang, D Liu arXiv preprint arXiv:2404.12388, 2024 | 5 | 2024 |
Progressive Autoregressive Video Diffusion Models D Xie, Z Xu, Y Hong, H Tan, D Liu, F Liu, A Kaufman, Y Zhou arXiv preprint arXiv:2410.08151, 2024 | 3 | 2024 |
Visual Layout Composer: Image-Vector Dual Diffusion Model for Design Layout Generation MA Shabani, Z Wang, D Liu, N Zhao, J Yang, Y Furukawa Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 2 | 2024 |
GENERATION OF STYLIZED DRAWING OF THREE-DIMENSIONAL SHAPES USING NEURAL NETWORKS A Hertzmann, M Fisher, D Liu, E Kalogerakis US Patent App. 17/452,568, 2023 | 2 | 2023 |
HARIVO: Harnessing Text-to-Image Models for Video Generation M Kwon, SW Oh, Y Zhou, D Liu, JY Lee, H Cai, B Liu, F Liu, Y Uh arXiv preprint arXiv:2410.07763, 2024 | 1 | 2024 |
NIVeL: Neural Implicit Vector Layers for Text-to-Vector Generation V Thamizharasan, D Liu, M Fisher, N Zhao, E Kalogerakis, M Lukac arXiv preprint arXiv:2405.15217, 2024 | 1 | 2024 |
SNED: Superposition Network Architecture Search for Efficient Video Diffusion Model Z Li, Y Kang, Y Liu, D Liu, T Hinz, F Liu, Y Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 1 | 2024 |
Semantic Image Fill at High Resolutions T Hinz, P Taesung, R Zhang, MD Fisher, D Liu, E Kalogerakis US Patent App. 17/744,995, 2023 | | 2023 |