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UNIST Vision&Learning Lab
- Republic of Korea
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Highlights
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Open source impl of **MV-DUSt3R+ Single-Stage Scene Reconstruction from Sparse Views In 2 Seconds** from Meta Reality Labs. Project page https://mv-dust3rp.github.io/
Implementation of Newcombe et al. CVPR 2015 DynamicFusion paper
Official PyTorch implementation of the paper "Dataset Distillation with Neural Characteristic Function" (NCFM) in CVPR 2025.
[CVPR 2025] MatAnyone: Stable Video Matting with Consistent Memory Propagation
[CVPR 2025] Official PyTorch Implementation of MambaVision: A Hybrid Mamba-Transformer Vision Backbone
TRAM: Global Trajectory and Motion of 3D Humans from in-the-wild Videos
GIM: Learning Generalizable Image Matcher From Internet Videos (ICLR 2024 Spotlight)
Code for "Detector-Free Structure from Motion", CVPR 2024
Visual localization made easy with hloc
Original reference implementation of "EVER: Exact Volumetric Ellipsoid Rendering for Real-time View Synthesis"
Official PyTorch Implementation of "History-Guided Video Diffusion"
Official Implementation of paper "MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion"
[3DV'25] 3D Reconstruction with Spatial Memory
Acceptance rates for the major AI conferences
InstantSplat: Sparse-view SfM-free Gaussian Splatting in Seconds
Official repo for paper "Structured 3D Latents for Scalable and Versatile 3D Generation".
SPAR3D: Stable Point-Aware Reconstruction of 3D Objects from Single Images
Official implementation for "DMesh++: An Efficient Differentiable Mesh for Complex Shapes".
Official PyTorch Implementation for Task Vectors are Cross-Modal
Gaga: Group Any Gaussians via 3D-aware Memory Bank
(WIP) A small but powerful, homemade PyTorch from scratch.