weify627's Stars
NVIDIA/Cosmos
Cosmos is a world model development platform that consists of world foundation models, tokenizers and video processing pipeline to accelerate the development of Physical AI at Robotics & AV labs. Cosmos is purpose built for physical AI. The Cosmos repository will enable end users to run the Cosmos models, run inference scripts and generate videos.
NVlabs/DeepInversion
Official PyTorch implementation of Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion (CVPR 2020)
JimmySuen/integral-human-pose
Integral Human Pose Regression
ExplorerFreda/Structured-Self-Attentive-Sentence-Embedding
An open-source implementation of the paper ``A Structured Self-Attentive Sentence Embedding'' (Lin et al., ICLR 2017).
optas/artemis
Learning to ground explanations of affect for visual art.
liuyuisanai/coco_loss
Implement for ``Learning Deep Features via Congenerous Cosine Loss for Person Recognition''
SHI-Labs/Decoupled-Classification-Refinement
Revisiting RCNN: On Awakening the Classification Power of Faster RCNN (ECCV 2018)
HLinChen/VCR-GauS
[NeurIPS 2024] VCR-GauS: View Consistent Depth-Normal Regularizer for Gaussian Surface Reconstruction
weify627/4D-Rotor-Gaussians
mlpc-ucsd/Uni-3D
(ICCV 2023) Uni-3D: A Universal Model for Panoptic 3D Scene Reconstruction
SteveJunGao/3D_DeepLearning_Resources
Resources for 3D Deep Learning