[TPAMI'23] Unifying Flow, Stereo and Depth Estimation
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Updated
Jan 4, 2025 - Python
[TPAMI'23] Unifying Flow, Stereo and Depth Estimation
Official PyTorch Implementation of "GAN-Supervised Dense Visual Alignment" (CVPR 2022 Oral, Best Paper Finalist)
Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.
[ECCV 2020] QAConv: Interpretable and Generalizable Person Re-Identification with Query-Adaptive Convolution and Temporal Lifting, and [CVPR 2022] GS: Graph Sampling Based Deep Metric Learning
Rethinking Self-Supervised Correspondence Learning: A Video Frame-level Similarity Perspective, in ICCV 2021 (Oral)
The first fully convolutional metric learning for geometric/semantic image correspondences.
Self-Supervised Correspondence and Optimization-Based Scene Flow (CVPR 2023)
✨ PyTorch implementation of "Cora: Correspondence-aware Image Editing Using Few-Step Diffusion", accepted at SIGGRAPH 2025.
[NeurIPS 2021] TransMatcher: Deep Image Matching Through Transformers for Generalizable Person Re-identification
CVPR 2024, Hybrid Functional Maps for Crease-Aware Non-Isometric Shape Matching
Official repository for SuperCATs : Cost Aggregation with Transformers for Sparse Correspondence (ICCE-Asia'22)
a little program to transform a table of letters into the CMI format
Polygonal meshes in vertex-wise correspondence
Pure Numpy Implementation of the Landmark-Guided Coherent Point Drift Algorithm
Project to find disparity and depth maps for given two image sequences of a subject
Optimal transport-based correspondence computation for segmented point clouds
Explore 6D pose estimation's frontier using functional mapping. Extend pose estimation to unseen object categories through globally-informed correspondences, achieved by learned functional mapping.
A script used to generate the spectral correspondence figure in my DPhil thesis.
基於在 Discord 上的自動偵測地震及時回報系統
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