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Dmytro Spodarets

Articles by Dmytro Spodarets

159 items

A Guide to the YOLO Family of Computer Vision Models
YOLO (You Only Look Once) is an advanced algorithm that can detect and recognize various objects in a picture in real-time, faster and more accurately than any other algorithm. The YOLO family is advancing, step-by-step, and every update adds to its potential.
Feb 12, 2023
Data Phoenix Digest - ISSUE 3.2023
Video recording of our webinar about synthetic data and how they help to enable responsible innovation by Shalini Kurapati, let's build GPT, best collaboration practices from 4 ML teams, self-serve feature platforms, DreamerV3, YOLOv6 v3.0, GLIGEN, HyperReel, StyleGAN-T, books, and more.
Feb 2, 2023
GLIGEN: Open-Set Grounded Text-to-Image Generation
GLIGEN (Grounded-Language-to-Image Generation) is a novel approach that builds upon and extends the functionality of existing pre-trained text-to-image diffusion models by enabling them to also be conditioned on grounding inputs. Take a closer look!
Feb 1, 2023
StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis
StyleGAN-T addresses the specific requirements of large-scale text-to-image synthesis to significantly improve over previous GANs and outperform distilled diffusion models in terms of sample quality and speed. Learn more about the model!
Jan 30, 2023
HyperReel: High-Fidelity 6-DoF Video with Ray-Conditioned Sampling
HyperReel is a novel 6-DoF video representation that is unique compared to other approaches in that it both accelerates volume rendering and improves rendering quality, especially for challenging view dependent scenes. Find out more about it!
Jan 27, 2023
Data Phoenix Digest - ISSUE 2.2023
Video recording of our webinar about dstack and reproducible ML workflows, AVL binary tree operations, Ultralytics YOLOv8, training XGBoost, productionize ML models, introduction to forecasting ensembles, domain expansion of image generators, Muse, X-Decoder, Box2Mask, RoDynRF, AgileAvatar and more.
Jan 26, 2023
RoDynRF: Robust Dynamic Radiance Fields
In this work, the authors address the robustness issue of dynamic radiance field reconstruction methods by jointly estimating the static and dynamic radiance fields along with the camera parameters (poses and focal length). Learn how they do it!
Jan 20, 2023
AgileAvatar: Stylized 3D Avatar Creation via Cascaded Domain Bridging
AgileAvatar is a novel self-supervised learning framework to create high-quality stylized 3D avatars with a mix of continuous and discrete parameters. To ensure the discrete parameters are optimized, a cascaded relaxation-and-search pipeline is implemented.
Jan 17, 2023
Box2Mask: Box-supervised Instance Segmentation via Level-set Evolution
Box2Mask is a novel single-shot instance segmentation approach, which integrates the classical level-set evolution model into deep neural network learning to achieve accurate mask prediction with only bounding box supervision. Check the paper out!
Jan 15, 2023
Zero-Shot Text-Guided Object Generation with Dream Fields
Dream Fields can generate the geometry and color of a wide range of objects without 3D supervision. It combines neural rendering with multi-modal image and text representations to synthesize diverse 3D objects solely from natural language descriptions. Take a look!
Jan 11, 2023
Data Phoenix Digest - ISSUE 1.2023
Building a GitOps ML model registry with DVC and GTO, 10 metrics to evaluate supervised ML models, scaling ML model development with MLflow, ChatGPT and DALL·E 2 in a panel app, scalable diffusion models with transformers, NeRF-Art, ECON, InstantAvatar, DifFace, TextBox 2.0, ClimateNeRF, and more.
Jan 11, 2023
InstantAvatar: Learning Avatars from Monocular Video in 60 Seconds
InstantAvatar is a system that can reconstruct human avatars from a monocular video within seconds, and these avatars can be animated and rendered at an interactive rate. It converges 130x faster and can be trained in minutes instead of hours, way faster than competitors.
Jan 6, 2023