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[CVPR 2020 Oral] A differentiable framework for 3D registration
PyTorch implementation of the ClippyAdamW optimizer.
how to optimize some algorithm in cuda.
MiniCPM-V 4.5: A GPT-4o Level MLLM for Single Image, Multi Image and High-FPS Video Understanding on Your Phone
Soruce code of OctAttention: Octree-Based Large-Scale Contexts Model for Point Cloud Compression
Ongoing research training transformer models at scale
A Point Cloud Renderer based on Mitsuba3
北京林业大学硕士学位论文LaTeX模板（非官方）Beijing Forestry University Master's Thesis LaTeX Template (Unofficial)
Fast and memory-efficient exact attention
(ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"
[CVPR'23] FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer
The source code of CVPR 2020 paper "Multi-Scale Boosted Dehazing Network with Dense Feature Fusion"
TensorFlow code and pre-trained models for BERT
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
[CVPR'24 Oral] Official repository of Point Transformer V3 (PTv3)
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Swin Unet V2 is a modified version of Swin Unet based on Swin Transfomer V2.
[ECCVW 2022] The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"
Pytorch implementation of 2D Discrete Wavelet (DWT) and Dual Tree Complex Wavelet Transforms (DTCWT) and a DTCWT based ScatterNet
Official Pytorch Implementation of the paper: Wavelet Diffusion Models are fast and scalable Image Generators (CVPR'23)
Rethinking Performance Gains in Image Dehazing Networks
A unified framework for 3D content generation.
Domain Adaptation for Image Dehazing, CVPR2020
[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.