Neural Radiance Field (ECCV2020), TF2 & Keras implementation
-
Updated
Feb 21, 2022 - Python
Neural Radiance Field (ECCV2020), TF2 & Keras implementation
[ICLR 2024] Official implementation of "Pseudo-Generalized Dynamic View Synthesis from a Video"
Novel View Synthesis Using NeRF
A 3D visualization tool that demonstrated the 3D Gaussian Splatting optimization algorithm.
This is the official repository for the BMVC20 paper "Novel View Synthesis from Single Images via Point Cloud Transformation"
[ICLR 2024] Official implementation of the paper "Toss: High-quality text-guided novel view synthesis from a single image"
Unofficial implementation of the paper "Neural Radiance Fields for Novel View Synthesis"
HDR-GS: Efficient High Dynamic Range Novel View Synthesis at 1000x Speed via Gaussian Splatting
Official code repository for the EpipolarNVS contribution (BMVC 2022)
"Radiative Gaussian Splatting for Efficient X-ray Novel View Synthesis" (Arxir 2024)
PyTorch Implementation of Zero-shot Diffusion based 3D Scene Editing Technique
Depth-Guided Dynamic Neural Radiance Field using RGB-D data
✭ MAGNETRON ™ ✭: Implementation of Google's Dreambooth (with Stable Diffusion model) instead of IMAGEN (for making MAGNETRON ™ TECHNOLOGY IMAGINATION PROXIA). In particular this can be used to mimic the appearance of subjects in a given reference set and synthesize novel renditions of them in different contexts.
[AAAI-2024] Pytorch implementation of "ColNeRF: Collaboration for Generalizable Sparse Input Neural Radiance Field"
CVPR 2024-Improved Implicit Neural Representation with Fourier Reparameterized Training
Official repository of "PVSeRF: Joint Pixel-, Voxel- and Surface-Aligned Radiance Field for Single-Image Novel View Synthesis", ACM MM 2022
Official code for the paper "Partial-View Object View Synthesis via Filtering Inversion" (3DV spotlight 2024)
neural radiance fields for novel view synthesis and 3d reconstruction
Literature review and compilation for human motion synthesis and human novel view synthesis
Add a description, image, and links to the novel-view-synthesis topic page so that developers can more easily learn about it.
To associate your repository with the novel-view-synthesis topic, visit your repo's landing page and select "manage topics."