pixelnerf: Neural radiance fields from one or few images
We propose pixelNeRF, a learning framework that predicts a continuous neural scene
representation conditioned on one or few input images. The existing approach for …
representation conditioned on one or few input images. The existing approach for …
Nerfdiff: Single-image view synthesis with nerf-guided distillation from 3d-aware diffusion
Novel view synthesis from a single image requires inferring occluded regions of objects and
scenes whilst simultaneously maintaining semantic and physical consistency with the input …
scenes whilst simultaneously maintaining semantic and physical consistency with the input …
Nerdi: Single-view nerf synthesis with language-guided diffusion as general image priors
Abstract 2D-to-3D reconstruction is an ill-posed problem, yet humans are good at solving
this problem due to their prior knowledge of the 3D world developed over years. Driven by …
this problem due to their prior knowledge of the 3D world developed over years. Driven by …
Novel view synthesis with diffusion models
We present 3DiM, a diffusion model for 3D novel view synthesis, which is able to translate a
single input view into consistent and sharp completions across many views. The core …
single input view into consistent and sharp completions across many views. The core …
Gaudi: A neural architect for immersive 3d scene generation
We introduce GAUDI, a generative model capable of capturing the distribution of complex
and realistic 3D scenes that can be rendered immersively from a moving camera. We tackle …
and realistic 3D scenes that can be rendered immersively from a moving camera. We tackle …
Codenerf: Disentangled neural radiance fields for object categories
CodeNeRF is an implicit 3D neural representation that learns the variation of object shapes
and textures across a category and can be trained, from a set of posed images, to synthesize …
and textures across a category and can be trained, from a set of posed images, to synthesize …
Vector neurons: A general framework for so (3)-equivariant networks
Invariance and equivariance to the rotation group have been widely discussed in the 3D
deep learning community for pointclouds. Yet most proposed methods either use complex …
deep learning community for pointclouds. Yet most proposed methods either use complex …
Vision transformer for nerf-based view synthesis from a single input image
Although neural radiance fields (NeRF) have shown impressive advances in novel view
synthesis, most methods require multiple input images of the same scene with accurate …
synthesis, most methods require multiple input images of the same scene with accurate …
Sherf: Generalizable human nerf from a single image
Abstract Existing Human NeRF methods for reconstructing 3D humans typically rely on
multiple 2D images from multi-view cameras or monocular videos captured from fixed …
multiple 2D images from multi-view cameras or monocular videos captured from fixed …
Derf: Decomposed radiance fields
With the advent of Neural Radiance Fields (NeRF), neural networks can now render novel
views of a 3D scene with quality that fools the human eye. Yet, generating these images is …
views of a 3D scene with quality that fools the human eye. Yet, generating these images is …