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Next upHack for Humanity: San Francisco (powered by Google Gemini)Sat, Sep 19 · 15:45 PDT

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Papers
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…
Dmytro Spodarets · Feb 1, 2023
Papers
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…
Dmytro Spodarets · Jan 30, 2023
Papers
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…
Dmytro Spodarets · Jan 27, 2023
Digest
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,…
Dmytro Spodarets · Jan 26, 2023
Article
AVL Binary Tree Operations
In this article, the author described AVL trees and operations you can perform on them, such as inserting a node in different variants (for example,…
Dr. Basant Agarwal · Jan 24, 2023
Papers
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…
Dmytro Spodarets · Jan 20, 2023
Papers
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…
Dmytro Spodarets · Jan 17, 2023
Papers
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…
Dmytro Spodarets · Jan 15, 2023
Papers
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…
Dmytro Spodarets · Jan 11, 2023
Digest
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…
Dmytro Spodarets · Jan 11, 2023
Papers
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…
Dmytro Spodarets · Jan 6, 2023
Papers
Scalable Diffusion Models with Transformers
In this work, the researchers explore a new class of diffusion models based on the transformer architecture; train latent diffusion models, replacing…
Dmytro Spodarets · Jan 3, 2023

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