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Found 5 papers, 3 papers with code
EPCL: Frozen CLIP Transformer is An Efficient Point Cloud Encoder
These token embeddings are concatenated with a task token and fed into the frozen CLIP transformer to learn point cloud representation.
CFNet: Conditional Filter Learning with Dynamic Noise Estimation for Real Image Denoising
A mainstream type of the state of the arts (SOTAs) based on convolutional neural network (CNN) for real image denoising contains two sub-problems, i. e., noise estimation and non-blind denoising.
GMF: General Multimodal Fusion Framework for Correspondence Outlier Rejection
In this paper, we propose General Multimodal Fusion (GMF) to learn to reject the correspondence outliers by leveraging both the structure and texture information.
GenReg: Deep Generative Method for Fast Point Cloud Registration
To solve this challenge, we propose a new data-driven registration algorithm by investigating deep generative neural networks to point cloud registration.
IMFNet: Interpretable Multimodal Fusion for Point Cloud Registration
In this paper, we propose a new multimodal fusion method to generate a point cloud registration descriptor by considering both structure and texture information.
Ranked #1 on
Point Cloud Registration
on 3DMatch Benchmark
(using extra training data)
