| Patch diffusion: Faster and more data-efficient training of diffusion models Z Wang, Y Jiang, H Zheng, P Wang, P He, Z Wang, W Chen, M Zhou Advances in Neural Information Processing Systems 36, 2024 | 202 | 2024 |
| Is Attention All That NeRF Needs? M Varma, P Wang, X Chen, T Chen, S Venugopalan, Z Wang The Eleventh International Conference on Learning Representations, 2022 | 192* | 2022 |
| Sinnerf: Training neural radiance fields on complex scenes from a single image D Xu, Y Jiang, P Wang, Z Fan, H Shi, Z Wang European Conference on Computer Vision, 736-753, 2022 | 188 | 2022 |
| Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice P Wang, W Zheng, T Chen, Z Wang International Conference on Learning Representations (ICLR), 2022 | 138 | 2022 |
| NeuralLift-360: Lifting an In-the-Wild 2D Photo to a 3D Object With 360deg Views D Xu, Y Jiang, P Wang, Z Fan, Y Wang, Z Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 124 | 2023 |
| Unified implicit neural stylization Z Fan, Y Jiang, P Wang, X Gong, D Xu, Z Wang European Conference on Computer Vision, 636-654, 2022 | 86 | 2022 |
| Bag of tricks for training deeper graph neural networks: A comprehensive benchmark study T Chen, K Zhou, K Duan, W Zheng, P Wang, X Hu, Z Wang IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (3), 2769-2781, 2022 | 77 | 2022 |
| A comprehensive study on large-scale graph training: Benchmarking and rethinking K Duan, Z Liu, P Wang, W Zheng, K Zhou, T Chen, X Hu, Z Wang Advances in Neural Information Processing Systems 35, 5376-5389, 2022 | 67 | 2022 |
| NeRF-SOS: Any-View Self-supervised Object Segmentation on Complex Scenes Z Fan, P Wang, Y Jiang, X Gong, D Xu, Z Wang arXiv preprint arXiv:2209.08776, 2022 | 58 | 2022 |
| Learning to Grow Pretrained Models for Efficient Transformer Training P Wang, R Panda, LT Hennigen, P Greengard, L Karlinsky, R Feris, ... arXiv preprint arXiv:2303.00980, 2023 | 54 | 2023 |
| Equivariant Hypergraph Diffusion Neural Operators P Wang, S Yang, Y Liu, Z Wang, P Li arXiv preprint arXiv:2207.06680, 2022 | 54 | 2022 |
| Aug-NeRF: Training Stronger Neural Radiance Fields With Triple-Level Physically-Grounded Augmentations T Chen, P Wang, Z Fan, Z Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 52 | 2022 |
| TightCap: 3D Human Shape Capture with Clothing Tightness Field X Chen, A Pang, W Yang, P Wang, L Xu, J Yu ACM Transactions on Graphics (TOG) 41 (1), 1-17, 2021 | 39* | 2021 |
| Signal processing for implicit neural representations D Xu, P Wang, Y Jiang, Z Fan, Z Wang Advances in Neural Information Processing Systems 35, 13404-13418, 2022 | 36 | 2022 |
| Vision HGNN: An Image is More than a Graph of Nodes Y Han, P Wang, S Kundu, Y Ding, Z Wang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 30 | 2023 |
| CADTransformer: Panoptic Symbol Spotting Transformer for CAD Drawings Z Fan, T Chen, P Wang, Z Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 23 | 2022 |
| POPE: 6-DoF Promptable Pose Estimation of Any Object in Any Scene with One Reference Z Fan, P Pan, P Wang, Y Jiang, D Xu, Z Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 21 | 2024 |
| Enhancing NeRF akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-Experts W Cong, H Liang, P Wang, Z Fan, T Chen, M Varma, Y Wang, Z Wang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 21 | 2023 |
| Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again A Jaiswal, P Wang, T Chen, J Rousseau, Y Ding, Z Wang Advances in Neural Information Processing Systems 35, 7561-7574, 2022 | 20 | 2022 |
| Learning to estimate 6dof pose from limited data: A few-shot, generalizable approach using rgb images P Pan, Z Fan, BY Feng, P Wang, C Li, Z Wang 2024 International Conference on 3D Vision (3DV), 1059-1071, 2024 | 19 | 2024 |
Zhangyang (Atlas) WangXTX Markets & University of Texas at Austinutexas.edu üzerinde doğrulanmış e-posta adresine sahip