Alternatives and similar repositories for omnidata

Users that are interested in omnidata are comparing it to the libraries listed below

• zhizdev / sparsefusion
  [CVPR 2023] SparseFusion: Distilling View-conditioned Diffusion for 3D Reconstruction
  ☆379Updated 2 years ago
• Wanggcong / SparseNeRF
  [ICCV 2023] SparseNeRF: Distilling Depth Ranking for Few-shot Novel View Synthesis
  ☆291Updated 2 months ago
• facebookresearch / Neural_3D_Video
  The repository for CVPR 2022 Paper "Neural 3D Video Synthesis"
  ☆332Updated 3 years ago
• nihalsid / panoptic-lifting
  [CVPR23 Highlight] Implementation for Panoptic Lifting
  ☆339Updated 2 years ago
• nianticlabs / diffusionerf
  [CVPR 2023] DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion Models
  ☆306Updated 2 years ago
• hustvl / TiNeuVox
  TiNeuVox: Fast Dynamic Radiance Fields with Time-Aware Neural Voxels (SIGGRAPH Asia 2022)
  ☆352Updated 2 years ago
• ActiveVisionLab / nope-nerf
  (CVPR 2023) NoPe-NeRF: Optimising Neural Radiance Field with No Pose Prior
  ☆405Updated 2 years ago
• Jiawei-Yang / FreeNeRF
  [CVPR23] FreeNeRF: Improving Few-shot Neural Rendering with Free Frequency Regularization
  ☆475Updated last year
• facebookresearch / robust-dynrf
  An algorithm for reconstructing the radiance field of a dynamic scene from a casually-captured video.
  ☆237Updated 2 years ago
• vLAR-group / DM-NeRF
  🔥DM-NeRF in PyTorch (ICLR 2023)
  ☆255Updated 3 months ago
• barbararoessle / dense_depth_priors_nerf
  Dense Depth Priors for Neural Radiance Fields from Sparse Input Views
  ☆401Updated 2 years ago
• jetd1 / NeRFusion
  ☆268Updated last year
• google-research / sparf
  This is the official code release for SPARF: Neural Radiance Fields from Sparse and Noisy Poses [CVPR 2023-Highlight]
  ☆300Updated 6 months ago
• wutong16 / Voxurf
  [ ICLR 2023 Spotlight ] Pytorch implementation for "Voxurf: Voxel-based Efficient and Accurate Neural Surface Reconstruction"
  ☆408Updated last year
• Harry-Zhi / semantic_nerf
  The implementation of "In-Place Scene Labelling and Understanding with Implicit Scene Representation" [ICCV 2021].
  ☆456Updated 2 years ago
• wbhu / Tri-MipRF
  [ICCV'23 Oral, Best Paper Finalist]Tri-MipRF: Tri-Mip Representation for Efficient Anti-Aliasing Neural Radiance Fields
  ☆456Updated 2 years ago
• jasonyzhang / RayDiffusion
  Code for "Cameras as Rays"
  ☆610Updated last year
• zju3dv / object_nerf
  Code for "Learning Object-Compositional Neural Radiance Field for Editable Scene Rendering", ICCV 2021
  ☆315Updated 2 years ago
• Lakonik / SSDNeRF
  [ICCV 2023] Single-Stage Diffusion NeRF
  ☆445Updated last year
• VITA-Group / GNT
  [ICLR 2023] "Is Attention All NeRF Needs?" by Mukund Varma T*, Peihao Wang* , Xuxi Chen, Tianlong Chen, Subhashini Venugopalan, Zhangyang…
  ☆347Updated last year
• sarafridov / K-Planes
  ☆521Updated last year
• autonomousvision / monosdf
  [NeurIPS'22] MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction
  ☆605Updated 2 years ago
• liuyuan-pal / NeuRay
  [CVPR2022] Neural Rays for Occlusion-aware Image-based Rendering
  ☆417Updated last year
• VITA-Group / SinNeRF
  [ECCV 2022] "SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image", Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen …
  ☆331Updated 3 years ago
• jkulhanek / tetra-nerf
  Official implementation for Tetra-NeRF paper - NeRF represented as triangulation of input point cloud.
  ☆296Updated 2 months ago
• hjxwhy / mipnerf_pl
  Unofficial pytorch-lightning implement of Mip-NeRF
  ☆284Updated 2 years ago
• gaochen315 / DynamicNeRF
  ☆243Updated 3 years ago
• xxlong0 / SparseNeuS
  SparseNeuS: Fast Generalizable Neural Surface Reconstruction from Sparse views
  ☆345Updated last year
• Caoang327 / HexPlane
  Official code for CVPR 2023 Paper, HexPlane: A Fast Representation for Dynamic Scenes
  ☆301Updated last year
• RaduAlexandru / permuto_sdf
  Code for our CVPR'23 paper - "PermutoSDF: Fast Multi-View Reconstruction with Implicit Surfaces using Permutohedral Lattices"
  ☆451Updated 2 years ago