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Lists (3)
Starred repositories
DepthCrafter: Generating Consistent Long Depth Sequences for Open-world Videos
No Pose, No Problem: Surprisingly Simple 3D Gaussian Splats from Sparse Unposed Images
DepthSplat: Connecting Gaussian Splatting and Depth
[IJCV2024] Exploiting Diffusion Prior for Real-World Image Super-Resolution
ICCV 2023 "Neural Video Depth Stabilizer" (NVDS) & TPAMI 2024 "NVDS+: Towards Efficient and Versatile Neural Stabilizer for Video Depth Estimation" (NVDS+)
One-step image-to-image with Stable Diffusion turbo: sketch2image, day2night, and more
Controllable video and image Generation, SVD, Animate Anyone, ControlNet, ControlNeXt, LoRA
Monocular, One-stage, Regression of Multiple 3D People and their 3D positions & trajectories in camera & global coordinates. ROMP[ICCV21], BEV[CVPR22], TRACE[CVPR2023]
Differentiable Iso-Surface Extraction Package (DISO)
[ECCV 2024] DoubleTake: Geometry Guided Depth Estimation
[CVPR 2024 Highlight] Official PyTorch implementation of SpatialTracker: Tracking Any 2D Pixels in 3D Space
CoTracker is a model for tracking any point (pixel) on a video.
VGGSfM: Visual Geometry Grounded Deep Structure From Motion
Pytorch framework for doing deep learning on point clouds.
[CVPR 2023 - Highlight] Accelerated Coordinate Encoding (ACE): Learning to Relocalize in Minutes using RGB and Poses
[CVPR 2024 Highlight] Map-Relative Pose Regression for Visual Re-Localization
[CVPR 2024 - Oral] Matching 2D Images in 3D: Metric Relative Pose from Metric Correspondences
[ECCV 2024 - Oral] ACE0 is a learning-based structure-from-motion approach that estimates camera parameters of sets of images by learning a multi-view consistent, implicit scene representation.
Python TSDF Fusion Framework using pytorch
Python code to fuse multiple RGB-D images into a TSDF voxel volume.
[TPAMI'23] Unifying Flow, Stereo and Depth Estimation
[CVPR 2024 Oral, Best Paper Runner-Up] Code for "pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction" by David Charatan, Sizhe Lester Li, Andrea Tagliasacch…
[CVPR'23] Co-SLAM: Joint Coordinate and Sparse Parametric Encodings for Neural Real-Time SLAM
[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation
🌊 [ECCV'24 Oral] MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images
[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.