Articles by Dmytro Spodarets
159 items
LION: Latent point diffusion models for generating 3D shapes
Diffusion denoising models (DDM) have shown promising results in the synthesis of 3D point clouds. For 3D DDM to get better, it requires high quality generation, flexibility for manipulation and applications such as conditional synthesis and shape interpolation, and the ability to output smooth surfaces or meshes. At the NeurIPS 2022 conference, a novelty in the AI world is presented, the Latent Point Diffusion Model (LION). This is a 3D shape generation DDM that focuses on training a 3D genera
Oct 26, 2022
Omni3D: A large reference and model for detecting 3D objects in the wild
Recognizing scenes and objects in 3D from a single image is a long-standing goal of computer vision, with applications in robotics and AR/VR. After the success of 2D recognition, Meta AI returns to the task of detecting 3D objects by introducing a large benchmark called Omni3D that uses and merges existing datasets, resulting in 234,000 images annotated with more than 3 million instances and 97 categories. The new Cube R-CNN, trained on Omni3D, is designed to summarize all camera types and scen
Oct 24, 2022
Data Phoenix Digest - ISSUE 55
Charity AI webinar about synthetic data, introduction to DVC and MLflow for experiment tracking, vision transformer model, neural density-distance fields, 40 open-source audio datasets for ML, MDM, DiffDock, YOLO-FaceV2, news, tools, and more.
Oct 18, 2022
Data Phoenix Digest - ISSUE 54
Charity webinar "The promising role of synthetic data to enable responsible innovation", YOLOV7 object counter logic, AutoML for object detection, neural density-distance fields, retrieval-augmented diffusion models, MinVIS, CLIFF, OFA, news, courses, tools, and more.
Oct 10, 2022
Data Phoenix Digest - ISSUE 53
Charity AI webinar, review YOLOv6, GNN in TensorFlow, recent advances and applications of DL methods in materials science, a conversational paradigm for program synthesis, YOLOv7, ASE, PyMAF-X, CVPR 2022 papers, datasets, news, courses, and more.
Sep 13, 2022
Data Phoenix Digest - ISSUE 52
DALL-E is now available in beta, and DALL-E 2 prompt book, introduction to diffusion models for ML, distribute your PyTorch model in less than 20 lines of code, k-means mask transformer, explaining chest X-ray pathologies in natural language, FIGS, NU-Wave, VQAD, datasets, tools, courses, and more.
Aug 17, 2022
Data Phoenix Digest - ISSUE 51
YOLOv7, from ML model to ML pipeline, MLOps and ML roadmap, training the YOLOv5, multiplying matrices without multiplying, SoundSpaces platform, the Shapley value in ML, MineDojo, OmniBenchmark, HaGRID, PMData, courses, and more.
Aug 1, 2022
Data Phoenix Digest - ISSUE 50
Machine Learning & Data Science Survey 2022, how to test ML models in the real world, best practices for deploying language models, neural 3D reconstruction in the wild, mask DINO, MotionCNN, CVNets, StylizedNeRF, courses, tools, and more.
Jul 20, 2022
Data Phoenix Digest - ISSUE 49
The series of webinars "The A-Z of Data" come back in July, MLOps in 10 minutes, best practices for deploying computer vision models, it is time to explore LCE, graph ordering attention networks, OnePose, Diffuser, Imagen, and more.
Jun 13, 2022
MLOps in 10 Minutes
How MLOps helps across all stages of ML project
Jun 3, 2022
Data Phoenix Digest - ISSUE 48
MLOps with SageMaker, introduction to the YOLO family, multi GPU model training, neural 3D scene reconstruction with the manhattan-world assumption, learning to answer questions from millions of narrated videos, ConvMAE, ARTEMIS, EasyNLP, and more.
May 24, 2022
Data Phoenix Digest - ISSUE 47
Kubeflow MLOps, a comprehensive list of strategies for feature selection, introducing PyScript, open pre-trained transformer language models, DeepNorm, NeurMiPs, Stanford CS224N NLP with Deep Learning, LAION-5B dataset, and more.
May 11, 2022