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

Notify meSee schedule

Sign in Subscribe

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

Notify meSee schedule

Articles

In-depth analysis, explainers, and digests.

Share your story Subscribe

Latest

Papers
NeRF-Art: Text-Driven Neural Radiance Fields Stylization
Neural radiance fields (NeRF) enable high-quality novel view synthesis. Editing NeRF, however, remains challenging. In this paper, the authors…
Dmytro Spodarets · Dec 30, 2022
Papers
ECON: Explicit Clothed humans Obtained from Normals
ECON combines the best aspects of implicit and explicit surfaces to infer high-fidelity 3D humans, even with loose clothing or in challenging poses.…
Dmytro Spodarets · Dec 27, 2022
Digest
Data Phoenix Digest - ISSUE 62
AI image generator, data versioning for ML in Airflow, the illustrated stable diffusion, into the transformer, building Airbnb categories with ML and…
Dmytro Spodarets · Dec 27, 2022
Papers
3DHumanGAN: Towards Photo-realistic 3D-Aware Human Image Generation
3DHumanGAN is a 3D-aware generative adversarial network (GAN) that synthesizes images of full-body humans with consistent appearances under different…
Dmytro Spodarets · Dec 26, 2022
Papers
Novel View Synthesis with Diffusion Models
3DiM is a diffusion model for 3D novel view synthesis from as few as a single image. Comparing it to the SRN ShapeNet dataset, it is clear that…
Dmytro Spodarets · Dec 23, 2022
Papers
UDE: A Unified Driving Engine for Human Motion Generation
Unified Driving Engine (UDE) is the first unified driving engine that enables generating human motion sequences from natural language or audio…
Dmytro Spodarets · Dec 21, 2022
Papers
RANA: Relightable Articulated Neural Avatars
RANA is a relightable and articulated neural avatar for the photorealistic synthesis of humans under arbitrary viewpoints, body poses, and lighting.…
Dmytro Spodarets · Dec 18, 2022
Digest
Data Phoenix Digest - ISSUE 61
Webinar "Vertex AI Pipelines infrastructure with Terraform", data version control with DVC and Git, the 5 stages of ML validation, 10 quick pandas…
Dmytro Spodarets · Dec 17, 2022
Digest
Data Phoenix Digest - ISSUE 60
Webinar "Vertex AI Pipelines infrastructure with Terraform", bringing GitOps to ML with dstack, “You Can’t Predict the Errors of Your Model”… Or Can…
Dmytro Spodarets · Dec 9, 2022
Article
Bringing GitOps to ML with dstack
GitOps is a DevOps paradigm that helps teams ship software more quickly by applying things like version control, collaboration, compliance, and…
Andrey Cheptsov · Nov 25, 2022
Article
“You Can’t Predict the Errors of Your Model”… Or Can You?
NannyML has released DLE, an algorithm able to predict the MAE and the MSE of your regression model, in the absence of the ground truth In a…
Samuele Mazzanti · Nov 22, 2022
Papers
ULNeF: Untangled Layered Neural Fields for Mix-and-Match Virtual Try-On
Recent advances in neural models have shown excellent results for virtual fitting tasks (VTO), where a 3D representation of a garment is deformed to…
Dmytro Spodarets · Nov 19, 2022

Upcoming broadcasts

Notify me See full program

Subscribe to our newsletters

Pick the lists you care about — one email, unsubscribe anytime.

Popular topics

policy-safety-and-incidents funding-and-ma products-and-features foundation-models-and-research OpenAI industry-and-adoption Anthropic AI infrastructure infrastructure-and-compute nvidia AI agents AI safety