Paper reading
I will make notes about the paper I have read. Keep reading and doing solid research!
3d vision
- Nerf:Neural Radiance Fields
- NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections
- Nerfies: Deformable Neural Radiance Fields
- D-NeRF: Neural Radiance Fields for Dynamic Scenes
- Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar Reconstruction
- Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Dynamic Scene From Monocular Video
- GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis
- GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields
- Pixel-aligned Volumetric Avatars
- NeRF in the Dark: High Dynamic Range View Synthesis from Noisy Raw Images
- Neural Radiance Flow for 4D View Synthesis and Video Processing
- Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes
- Portrait Neural Radiance Fields from a Single Image
- pixelNeRF: Neural Radiance Fields from One or Few Images
- FLAME-in-NeRF: Neural control of Radiance Fields for Free View Face Animation
- HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields
- Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild
- Photo-Realistic Facial Details Synthesis From Single Image
- Learning to Recover 3D Scene Shape from a Single Image
- FENeRF: Face Editing in Neural Radiance Fields
- pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis
- RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs
de-noising