novel-view-synthesis
There are 80 repositories under novel-view-synthesis topic.
vt-vl-lab/3d-photo-inpainting
[CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting
cvlab-columbia/zero123
Zero-1-to-3: Zero-shot One Image to 3D Object (ICCV 2023)
hustvl/4DGaussians
[CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering
hbb1/2d-gaussian-splatting
[SIGGRAPH'24] 2D Gaussian Splatting for Geometrically Accurate Radiance Fields
kwea123/ngp_pl
Instant-ngp in pytorch+cuda trained with pytorch-lightning (high quality with high speed, with only few lines of legible code)
google/hypernerf
Code for "HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields".
autonomousvision/differentiable_volumetric_rendering
This repository contains the code for the CVPR 2020 paper "Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision"
autonomousvision/mip-splatting
[CVPR'24 Oral] Mip-Splatting: Alias-free 3D Gaussian Splatting
zju3dv/LoG
Level of Gaussians
Awesome3DGS/3D-Gaussian-Splatting-Papers
3D高斯论文,持续更新,欢迎交流讨论。
ActiveVisionLab/nerfmm
(Arxiv 2021) NeRF--: Neural Radiance Fields Without Known Camera Parameters
autonomousvision/gaussian-opacity-fields
Gaussian Opacity Fields: Efficient and Compact Surface Reconstruction in Unbounded Scenes
donydchen/mvsplat
🌊[arXiv'24] MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images
zju3dv/ENeRF
SIGGRAPH Asia 2022: Code for "Efficient Neural Radiance Fields for Interactive Free-viewpoint Video"
liuyuan-pal/NeuRay
[CVPR2022] Neural Rays for Occlusion-aware Image-based Rendering
vincentfung13/MINE
Code and models for our ICCV 2021 paper "MINE: Towards Continuous Depth MPI with NeRF for Novel View Synthesis"
CompVis/geometry-free-view-synthesis
Is a geometric model required to synthesize novel views from a single image?
ActiveVisionLab/nope-nerf
(CVPR 2023) NoPe-NeRF: Optimising Neural Radiance Field with No Pose Prior
google-research/sparf
This is the official code release for SPARF: Neural Radiance Fields from Sparse and Noisy Poses [CVPR 2023-Highlight]
DL3DV-10K/Dataset
News: the 7k dataset is ready for download.
zubair-irshad/NeO-360
Pytorch code for ICCV'23 paper. NEO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes
MatrixBrain/awesome-NeRF
A curated list of awesome neural radiance fields (NeRF) papers.
shaohua0116/Multiview2Novelview
An official TensorFlow implementation of "Multi-view to Novel view: Synthesizing novel views with Self-Learned Confidence" (ECCV 2018) by Shao-Hua Sun, Minyoung Huh, Yuan-Hong Liao, Ning Zhang, and Joseph J. Lim
snap-research/R2L
[ECCV 2022] R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis
tobias-kirschstein/nersemble
[Siggraph '23] NeRSemble: Neural Radiance Field Reconstruction of Human Heads
kxhit/EscherNet
[CVPR2024 Oral] EscherNet: A Generative Model for Scalable View Synthesis
alibaba/VideoMV
VideoMV: Consistent Multi-View Generation Based on Large Video Generative Model
cvg/nicer-slam
[3DV'24 Best Paper Honorable Mention] NICER-SLAM: Neural Implicit Scene Encoding for RGB SLAM
kxhit/zero123-hf
A diffuser implementation of Zero123. Zero-1-to-3: Zero-shot One Image to 3D Object (ICCV23)
ubc-vision/vivid123
[CVPR 2024] ViVid-1-to-3: Novel View Synthesis with Video Diffusion Models
JunchenLiu77/Rip-NeRF
Rip-NeRF: Anti-aliasing Radiance Fields with Ripmap-Encoded Platonic Solids
sfchng/Gaussian-Activated-Radiance-Fields
[ECCV 2022 Oral] GARF: Gaussian Activated Radiance Fields for High Fidelity Reconstruction & Pose Estimation
ispc-lab/LiDAR4D
💫 [CVPR 2024] LiDAR4D: Dynamic Neural Fields for Novel Space-time View LiDAR Synthesis
lyndonzheng/Free3D
[CVPR'24] Consistent Novel View Synthesis without 3D Representation
FreedomGu/DiffPortrait3D
Official Repository of [CVPR'24 Highlight Diffportrait3D: Controllable Diffusion for Zero-Shot Portrait View Synthesis]
Sharath-girish/efficientgaussian
Official implementation of "EAGLES: Efficient Accelerated 3D Gaussians with Lightweight EncodingS"