Back to Computer Vision

After 3 years, me decides to dive Deeep into CV again...

Resources

• ECCV 2022: NeRF Tutorial
• CMU 16-825: Learning for 3D Vision
• UCB CS294-173: Learning for 3D Vision

Paper List

Mildenhall, Ben, et al. "Nerf: Representing scenes as neural radiance fields for view synthesis." Communications of the ACM 65.1 (2021): 99-106.

Works that prior to NeRF

1. Lombardi, Stephen, et al. "Neural volumes: Learning dynamic renderable volumes from images." arXiv preprint arXiv:1906.07751 (2019).
2. Mildenhall, Ben, et al. "Local light field fusion: Practical view synthesis with prescriptive sampling guidelines." ACM Transactions on Graphics (TOG) 38.4 (2019): 1-14.
3. Sitzmann, Vincent, Michael Zollhöfer, and Gordon Wetzstein. "Scene representation networks: Continuous 3d-structure-aware neural scene representations." Advances in Neural Information Processing Systems 32 (2019).

NeRF related work

1. Park, Jeong Joon, et al. "Deepsdf: Learning continuous signed distance functions for shape representation." Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. 2019.
2. Mescheder, Lars, et al. "Occupancy networks: Learning 3d reconstruction in function space." Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. 2019.