ZERO10

Compute gradients in TensorFlow with GradientTape—watching, models, non-scalars, control flow, and performance tips, all with clear, runnable examples.

Why GradientTape Is the Most Underrated Feature in TensorFlow

Spaghetti describes code that is poorly structured and difficult to understand. It often involves deeply nested loops, excessive use of goto statements, and com

Code Smell 280 - Spaghetti Code

In this paper we study how the “semantic guesswork” produced by language models can be utilized as a guiding heuristic for planning algorithms.

Navigation with Large Language Models: Discussion and References

How can fashion brands enter the digital world using AI? Read my new interview with a maker of a highly-innovative technology that makes it a reality.

Innovative Solutions That Will Change The Shopping Experience

10:12 A.M. 11OCT 2022 <system voice notification> “Hi Marc, I’m transferring $15K of your free-cash to investment-account and buying Amazon (AMZN) at $1621. Also, the home-insurance was renewed for 24 months. You saved $2400 in premium paid.”

“Autonomous-Finance” offers a Re-Imagined Idea of Banking.

<a href="https://hackernoon.com/tagged/git" target="_blank">Git</a> had a huge year in 2016, with five feature releases<a href="#c8e9">¹</a> (v2.7 through v2.11) and sixteen patch releases<a href="#408a">²</a>. 189 authors<a href="#315b">³</a> contributed 3,676 commits<a href="#dbfb">⁴</a> to <code class="markup--code markup--p-code">master</code>, which is up 15%<a href="#2220">⁵</a> over 2015! In total, 1,545 files were changed with 276,799 lines added and 100,973 lines removed<a href="#bc78">⁶</a>.

Git in 2016

Coin3D outperforms existing 3D generation methods with fast runtime, precise proxy-based control, and high user satisfaction in interactive modeling.

Coin3D Delivers Fast, Precise 3D Generation with Strong User Approval

Coin3D enhances 3D generation by integrating 3D-aware control into diffusion models, enabling precise, interactive, and real-time shape-guided modeling.

Coin3D Advances 3D Generation with Precise Control and Interactivity

Coin3D integrates 3D-aware control for interactive 3D modeling, enabling real-time previews and precise edits while paving the way for future improvements.

Coin3D Introduces a New Standard for Interactive 3D Asset Generation

We evaluate the quality of the reconstructed geometry of different methods. The quantitative results are summarized in Table 1.

Wonder3D: Evaluating The Quality of The Reconstructed Geometry of Different Methods

In this section, we conduct a set of studies to verify the effectiveness of our designs as well as the properties of the method.

Wonder3D: Evaluating the Quality of Novel View Synthesis for Different Methods

We adopt Zero123 [31], RealFusion [38], Magic123 [44], One-2-3-45 [30], Point-E [41], Shap-E [25] and a recent work SyncDreamer [33] as baseline methods. 

The Baseline Methods of Wonder3D and What They Mean

Recent compelling successes in 2D diffusion models and large vision language models provide new possibilities for generating 3d assets.

2D Diffusion Models for 3D Generation: How They're Related to Wonder3D

This paper proposes Inpaint4DNeRF to capitalize on state-of-the-art stable diffusion models for direct generation of the underlying completed background content

NeRF Editing and Inpainting Techniques: Text-Guided Visual Content Generation

Check out this guide and spin up a GitHub Action for your favorite stack fast—like Stack Overflow copy & paste fast.

With GitHub Actions, you don’t have to do boring tasks manually ever again

On May 25, 1961, the then President of the United States, John F. Kennedy, set a national goal: perform a crewed lunar landing and return to Earth. After several historic attempts, his goal was achieved on July 20, 1969, when Apollo 11 commander Neil Armstrong stepped off the Lunar Module’s ladder and onto the Moon’s surface.

2019 AD: Ready for takeoff

For business inquiries please contact us via hi@zero10.app ⠀ ZERO10 is the leading AR Fashion Platform providing innovative tech solutions for brands entering the digital world. We believe that the future of fashion is hybrid, where physical and digital goods are blended into one united experience. Our proprietary wearable technology allows fashion brands and retailers to expand their customers’ journeys and increase engagement.

ZERO10

zero10.app

51-200 emps

Since 2021

ZERO10's stories on HackerNoon

Why GradientTape Is the Most Underrated Feature in TensorFlow

Code Smell 280 - Spaghetti Code

Navigation with Large Language Models: Discussion and References

Innovative Solutions That Will Change The Shopping Experience

“Autonomous-Finance” offers a Re-Imagined Idea of Banking.

Git in 2016

Coin3D Delivers Fast, Precise 3D Generation with Strong User Approval

Coin3D Advances 3D Generation with Precise Control and Interactivity

Coin3D Introduces a New Standard for Interactive 3D Asset Generation

Wonder3D: Evaluating The Quality of The Reconstructed Geometry of Different Methods

Wonder3D: Evaluating the Quality of Novel View Synthesis for Different Methods

The Baseline Methods of Wonder3D and What They Mean

2D Diffusion Models for 3D Generation: How They're Related to Wonder3D

NeRF Editing and Inpainting Techniques: Text-Guided Visual Content Generation

With GitHub Actions, you don’t have to do boring tasks manually ever again

2019 AD: Ready for takeoff

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