| GRF: Learning a General Radiance Field for 3D Scene Representation and Rendering A Trevithick, B Yang Proceedings of the IEEE/CVF International Conference on Computer Vision, 2020 | 286* | 2020 |
| Nerfdiff: Single-image view synthesis with nerf-guided distillation from 3d-aware diffusion J Gu, A Trevithick, KE Lin, JM Susskind, C Theobalt, L Liu, ... International Conference on Machine Learning, 11808-11826, 2023 | 98 | 2023 |
| Real-time radiance fields for single-image portrait view synthesis A Trevithick, M Chan, M Stengel, E Chan, C Liu, Z Yu, S Khamis, ... ACM Transactions on Graphics (TOG) 42 (4), 1-15, 2023 | 26 | 2023 |
| Ai-mediated 3d video conferencing M Stengel, K Nagano, C Liu, M Chan, A Trevithick, S De Mello, J Kim, ... ACM SIGGRAPH 2023 Emerging Technologies, 1-2, 2023 | 3 | 2023 |
| PVP: Personalized Video Prior for Editable Dynamic Portraits using StyleGAN KE Lin, A Trevithick, K Cheng, M Sarkis, M Ghafoorian, N Bi, G Reitmayr, ... Computer Graphics Forum 42 (4), e14890, 2023 | 1 | 2023 |
| RealmDreamer: Text-Driven 3D Scene Generation with Inpainting and Depth Diffusion J Shriram, A Trevithick, L Liu, R Ramamoorthi arXiv preprint arXiv:2404.07199, 2024 | | 2024 |
| What You See is What You GAN: Rendering Every Pixel for High-Fidelity Geometry in 3D GANs A Trevithick, M Chan, T Takikawa, U Iqbal, S De Mello, M Chandraker, ... arXiv preprint arXiv:2401.02411, 2024 | | 2024 |
Ravi RamamoorthiProfessor of Computer Science, University of California, San DiegoVerified email at cs.ucsd.edu
