| Nerf++: Analyzing and improving neural radiance fields K Zhang, G Riegler, N Snavely, V Koltun arXiv preprint arXiv:2010.07492, 2020 | 1068 | 2020 |
| Physg: Inverse rendering with spherical gaussians for physics-based material editing and relighting K Zhang, F Luan, Q Wang, K Bala, N Snavely Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 338 | 2021 |
| 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, ... International Conference on Learning Representations, 2023 | 321 | 2023 |
| Arf: Artistic radiance fields K Zhang, N Kolkin, S Bi, F Luan, Z Xu, E Shechtman, N Snavely European Conference on Computer Vision, 717-733, 2022 | 246 | 2022 |
| Instant3d: Fast text-to-3d with sparse-view generation and large reconstruction model J Li, H Tan, K Zhang, Z Xu, F Luan, Y Xu, Y Hong, K Sunkavalli, ... International Conference on Learning Representations, 2023 | 207 | 2023 |
| The Plant Pathology Challenge 2020 data set to classify foliar disease of apples R Thapa, K Zhang, N Snavely, S Belongie, A Khan Applications in plant sciences 8 (9), e11390, 2020 | 174 | 2020 |
| Dmv3d: Denoising multi-view diffusion using 3d large reconstruction model Y Xu, H Tan, F Luan, S Bi, P Wang, J Li, Z Shi, K Sunkavalli, G Wetzstein, ... International Conference on Learning Representations, 2023 | 133 | 2023 |
| Iron: Inverse rendering by optimizing neural sdfs and materials from photometric images K Zhang, F Luan, Z Li, N Snavely Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 109 | 2022 |
| Pf-lrm: Pose-free large reconstruction model for joint pose and shape prediction P Wang, H Tan, S Bi, Y Xu, F Luan, K Sunkavalli, W Wang, Z Xu, K Zhang International Conference on Learning Representations, 2023 | 87 | 2023 |
| GS-LRM: Large Reconstruction Model for 3D Gaussian Splatting K Zhang, S Bi, H Tan, Y Xiangli, N Zhao, K Sunkavalli, Z Xu European Conference on Computer Vision, 2024 | 78 | 2024 |
| GPT-4V (ision) is a Human-Aligned Evaluator for Text-to-3D Generation T Wu, G Yang, Z Li, K Zhang, Z Liu, L Guibas, D Lin, G Wetzstein Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 72 | 2024 |
| Leveraging vision reconstruction pipelines for satellite imagery K Zhang, N Snavely, J Sun Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 55 | 2019 |
| MeshLRM: Large Reconstruction Model for High-Quality Meshes X Wei, K Zhang, S Bi, H Tan, F Luan, V Deschaintre, K Sunkavalli, H Su, ... arXiv preprint arXiv:2404.12385, 2024 | 47 | 2024 |
| Depth sensing beyond lidar range K Zhang, J Xie, N Snavely, Q Chen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 37 | 2020 |
| Neural gaffer: Relighting any object via diffusion H Jin, Y Li, F Luan, Y Xiangli, S Bi, K Zhang, Z Xu, J Sun, N Snavely The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | 11 | 2024 |
| MegaScenes: Scene-Level View Synthesis at Scale J Tung, G Chou, R Cai, G Yang, K Zhang, G Wetzstein, B Hariharan, ... European Conference on Computer Vision, 2024 | 9 | 2024 |
| Neural Directional Encoding for Efficient and Accurate View-Dependent Appearance Modeling L Wu, S Bi, Z Xu, F Luan, K Zhang, I Georgiev, K Sunkavalli, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 9 | 2024 |
| LRM-Zero: Training Large Reconstruction Models with Synthesized Data D Xie, S Bi, Z Shu, K Zhang, Z Xu, Y Zhou, S Pirk, A Kaufman, X Sun, ... arXiv preprint arXiv:2406.09371, 2024 | 8 | 2024 |
| Lazydit: Lazy learning for the acceleration of diffusion transformers X Shen, Z Song, Y Zhou, B Chen, Y Li, Y Gong, K Zhang, H Tan, J Kuen, ... arXiv preprint arXiv:2412.12444, 2024 | 7 | 2024 |
| LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias H Jin, H Jiang, H Tan, K Zhang, S Bi, T Zhang, F Luan, N Snavely, Z Xu arXiv preprint arXiv:2410.17242, 2024 | 6 | 2024 |
Fujun LuanAdobe ResearchVerifisert e-postadresse på cornell.edu