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Difan Liu
Difan Liu
Research Scientist, Adobe Research
Verified email at adobe.com - Homepage
Title
Cited by
Cited by
Year
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
2352018
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
2292023
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
1442020
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
1062018
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
432020
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
252021
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
162024
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
102022
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
82020
VecFusion: Vector Font Generation with Diffusion
V Thamizharasan, D Liu, S Agarwal, M Fisher, M Gharbi, O Wang, ...
arXiv preprint arXiv:2312.10540, 2023
72023
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
52024
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
52024
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
32024
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
22024
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
22023
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
12024
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
12024
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
12024
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
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