jk4011

Pinned Repositories

Fractional-Langevin-Monte-Carlo
A simple pytorch implementation of Fractional Langevin Monte Carlo algorithms.
Language:Jupyter Notebook2 1 00
FRASIER
Language:Jupyter Notebook5 2 02
jhutil
Language:Python1 1 00
Mocap-Preprocess
Language:Python1 1 00
PyTorchEMD
PyTorch Wrapper for Earth-Mover-Distance (EMD) for 3D point cloud regression
Language:Cuda1 0 00
superpoint_transformer
Official PyTorch implementation of Superpoint Transformer introduced in "Efficient 3D Semantic Segmentation with Superpoint Transformer"
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torchlevy_page
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Variational-Diffusion-Models
This repositiory is code implemetion of a paper, "Variational Diffusion Models", Neurips 2021.
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jk4011's Repositories

jk4011/FRASIER
Language:Jupyter Notebook5 2 02
jk4011/jhutil
Language:Python1 1 00
jk4011/4DGaussians
[CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering
Language:Jupyter Notebook0 0
jk4011/algorithm
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jk4011/beakjoon
jk4011/blender
Official mirror of Blender
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jk4011/blender_minimal_example
Language:Python
jk4011/cycles_back
jk4011/DD-3DGS1
Diffusion Depth 3D Gaussian Splatting
jk4011/Depth-Anything
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
Language:Python
jk4011/depth_to_mesh
Python tool to convert a depth map into a triangle mesh
Language:Python0 0
jk4011/EscherNet
[CVPR2024 Oral] EscherNet: A Generative Model for Scalable View Synthesis
Language:Python
jk4011/FreeNeRF
[CVPR23] FreeNeRF: Improving Few-shot Neural Rendering with Free Frequency Regularization
Language:Python0 0
jk4011/FreeNeRF_plus_SparseNeRF
[ICCV 2023 exp] Integrate our SparseNeRF into FreeNeRF
Language:Python
jk4011/GeoTransformer
[CVPR2022] Geometric Transformer for Fast and Robust Point Cloud Registration
Language:Python0 0
jk4011/Marigold
Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
Language:Jupyter Notebook0 0
jk4011/neuralangelo
Official implementation of "Neuralangelo: High-Fidelity Neural Surface Reconstruction" (CVPR 2023)
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jk4011/NeuS2
Official code for NeuS2
Language:Cuda
jk4011/pixelsplat
Code for "pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction" by David Charatan, Sizhe Li, Andrea Tagliasacchi, and Vincent Sitzmann.
Language:Python0 0
jk4011/puzzle-solutions
personal solution for puzzle from srush
Language:Jupyter Notebook
jk4011/pytorch3d
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
Language:Python
jk4011/RoMa
[CVPR 2024] RoMa: Robust Dense Feature Matching; RoMa is the robust dense feature matcher capable of estimating pixel-dense warps and reliable certainties for almost any image pair.
Language:Python
jk4011/samsung_anomaly
jk4011/sdfstudio
A Unified Framework for Surface Reconstruction
Language:Python0 0
jk4011/SparseDC
[ArXiv 2023] SparseDC: Depth Completion from sparse and non-uniform inputs
Language:Jupyter Notebook0 0
jk4011/SparseNeRF
[ICCV 2023] SparseNeRF: Distilling Depth Ranking for Few-shot Novel View Synthesis
Language:Python0 0
jk4011/SuGaR
Official PyTorch implementation of SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering (CVPR 2024)
Language:C++
jk4011/tinyrenderer
A brief computer graphics / rendering course
jk4011/vggsfm
VGGSfM: Visual Geometry Grounded Deep Structure From Motion
Language:Python
jk4011/zero123
Zero-1-to-3: Zero-shot One Image to 3D Object (ICCV 2023)
Language:Python