76adf1's Stars
nissmar/PoNQ
Official implementation of PoNQ
liruilong940607/gaussian-splatting
[gsplat backend] Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
facebookresearch/DRTK
Differentiable Rendering Toolkit
AvivNavon/DWSNets
Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]
elientumba2019/Neural-Field-Convolutions-by-Repeated-Differentiation
52CV/CVPR-2024-Papers
YertleTurtleGit/depth-from-normals
Estimates a depth mapping from a given normal mapping.
AiuniAI/Unique3D
Official implementation of Unique3D: High-Quality and Efficient 3D Mesh Generation from a Single Image
mlfoundations/open_clip
An open source implementation of CLIP.
ThaUnknown/miru
Bittorrent streaming software for cats. Stream anime torrents, real-time with no waiting for downloads.
KAIST-Visual-AI-Group/PDS
Official Implementation of Posterior Distillation Sampling
ashawkey/stable-dreamfusion
Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.
filipbasara0/simple-diffusion
A minimal implementation of a denoising diffusion model in PyTorch.
mindspore-lab/mindone
one for all, Optimal generator with No Exception
gnobitab/RectifiedFlow
Official Implementation of Rectified Flow (ICLR2023 Spotlight)
janosh/awesome-normalizing-flows
Awesome resources on normalizing flows.
Profactor/continuous-remeshing
Continuous Remeshing For Inverse Rendering
apple/ml-jointnet
behavior-vision-suite/behavior-vision-suite.github.io
LabForComputationalVision/memorization_generalization_in_diffusion_models
lucidrains/mmdit
Implementation of a single layer of the MMDiT, proposed in Stable Diffusion 3, in Pytorch
hg-chung/DPIR
Differentiable Point-based Inverse Rendering
awesome-NeRF/awesome-NeRF
A curated list of awesome neural radiance fields papers
ayushtewari/DFM
Implementation of "Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision"
ali-vilab/Infusion
Official implementations for paper: InFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Prior
JunchenLiu77/Rip-NeRF
Rip-NeRF: Anti-aliasing Radiance Fields with Ripmap-Encoded Platonic Solids
Xrvitd/CWF
Code of CWF: Consolidating Weak Features in High-quality Mesh Simplification, ACM Transactions on Graphics, SIGGRAPH 2024
cszhilu1998/SelfDZSR_PlusPlus
[TPAMI 2024] Self-Supervised Learning for Real-World Super-Resolution from Dual and Multiple Zoomed Observations
Blealtan/efficient-kan
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
KindXiaoming/pykan
Kolmogorov Arnold Networks