JingZhang617's Stars
diff-usion/Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
isl-org/MiDaS
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"
NUAAXQ/awesome-point-cloud-analysis-2023
A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!
halajun/VDO_SLAM
VDO-SLAM: A Visual Dynamic Object-aware SLAM System
ENSTA-U2IS-AI/awesome-uncertainty-deeplearning
This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.
openai/ebm_code_release
Code for Implicit Generation and Generalization with Energy Based Models
megvii-research/TreeEnergyLoss
[CVPR2022] Tree Energy Loss: Towards Sparsely Annotated Semantic Segmentation
NVlabs/VAEBM
The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight paper)
siyueyu/SCWSSOD
JingZhang617/EBMGSOD
llefolgo/dlvi
Parametric Variational Inference engine in pytorch, based on the reparametrization trick and stochastic backpropagation.
fupiao1998/SOD-Eval
A salient object detection evaluation code. Serves for NPU-CVR