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HyperAI Super Neural
HyperAI Super Neural
Jan 27, 2026 · Artificial Intelligence

How Microsoft’s Open‑Source TRELLIS.2 Generates Full‑Texture 3D Assets in 3 Seconds

The article analyzes the fundamental challenges of 3D generative AI, compares existing NeRF, voxel, and single‑view methods, and explains how Microsoft’s open‑source TRELLIS.2 uses a field‑free O‑Voxel representation and 16× compression to produce 512³ full‑texture assets in about three seconds, with a step‑by‑step HyperAI demo.

3D generationHigh‑resolution assetsHyperAI
0 likes · 6 min read
How Microsoft’s Open‑Source TRELLIS.2 Generates Full‑Texture 3D Assets in 3 Seconds
Data Party THU
Data Party THU
Jan 18, 2026 · Artificial Intelligence

Unlocking 3D Scene Synthesis: A Deep Dive into Neural Radiance Fields (NeRF)

This article explains the core principles of Neural Radiance Fields, detailing how a fully‑connected network maps 5‑D coordinates to color and density, the role of positional encoding and hierarchical sampling, and provides a complete PyTorch implementation with training and rendering examples.

3D Scene RepresentationHierarchical SamplingNeRF
0 likes · 18 min read
Unlocking 3D Scene Synthesis: A Deep Dive into Neural Radiance Fields (NeRF)
AsiaInfo Technology: New Tech Exploration
AsiaInfo Technology: New Tech Exploration
Jan 12, 2024 · Artificial Intelligence

Exploring NeRF: From Theory to Real-World 3D Reconstruction Tools

This article introduces Neural Radiance Fields (NeRF) as a cutting‑edge AI technique for high‑quality 3D reconstruction, explains its core principles and advantages, outlines a step‑by‑step building workflow, reviews popular open‑source libraries such as Luma AI, NVIDIA Instant NeRF and NeRFStudio, and offers a forward‑looking summary of its potential and challenges.

3D reconstructionComputer VisionNeRF
0 likes · 12 min read
Exploring NeRF: From Theory to Real-World 3D Reconstruction Tools
Bilibili Tech
Bilibili Tech
Nov 1, 2023 · Artificial Intelligence

Neural Radiance Fields and Generative Intelligent Media: Recent Advances and Applications

Professor Hu Qiang presented recent progress in Neural Radiance Fields—covering implicit/explicit representations, hybrid models, and solutions for dynamic scenes, cloud‑based and edge‑cloud rendering—while also reviewing generative AI advances such as diffusion‑based text‑to‑image/video/3D, LoRA fine‑tuning, and large‑scale story‑book datasets, highlighting applications in virtual‑real content, smart‑city modeling, and 6‑DoF e‑commerce displays.

3D reconstructionDiffusion ModelsNeRF
0 likes · 14 min read
Neural Radiance Fields and Generative Intelligent Media: Recent Advances and Applications
DaTaobao Tech
DaTaobao Tech
Aug 30, 2023 · Artificial Intelligence

How AIGC Is Transforming 3D Model Generation for E‑commerce

This article explores the rise of AIGC-driven 3D model creation for e‑commerce, reviewing foundational technologies like NeRF, Point‑E, Shap‑E, DreamFusion and Magic3D, detailing practical experiments, hardware requirements, current challenges, and future industry implications.

3D generationAIGCDreamFusion
0 likes · 11 min read
How AIGC Is Transforming 3D Model Generation for E‑commerce
DaTaobao Tech
DaTaobao Tech
Jun 14, 2023 · Artificial Intelligence

Optimizing NeRF for Real-Time Mobile 3D Rendering in Alibaba's Object Drawer

Alibaba’s Taobao engineers detail how they transformed slow, high‑quality NeRF reconstruction into a real‑time mobile solution by combining an Octree‑Tiny‑MLP architecture, SNeRG optimizations, and a high‑frequency voxel reduction that shrank models to ~5 MB and achieved ~6 FPS on low‑end Android phones, targeting sub‑1 MB models and 50 FPS.

3D reconstructionMobile OptimizationNeRF
0 likes · 10 min read
Optimizing NeRF for Real-Time Mobile 3D Rendering in Alibaba's Object Drawer
DataFunSummit
DataFunSummit
May 5, 2023 · Artificial Intelligence

Advances in Virtual Humans, Multimodal Technology, and General AI – Insights from OPPO

The article presents OPPO's latest research on virtual human audio‑lip and RGB driving, multimodal learning breakthroughs such as CETNETs and cross‑modal matching, and a reflective discussion on the challenges and future directions of general artificial intelligence, highlighting the interconnections among these three domains.

AI EngineeringGeneral AIMultimodal Learning
0 likes · 9 min read
Advances in Virtual Humans, Multimodal Technology, and General AI – Insights from OPPO
DaTaobao Tech
DaTaobao Tech
Nov 12, 2022 · Industry Insights

How Taobao’s Double‑11 Tech Stack Redefined Shopping: Cloud‑Native DB, NeRF 3D, and Real‑Time Gaming

Taobao’s 2023 Double 11 showcased a suite of technical breakthroughs—including a cloud‑native Tair database for massive cart capacity, AI‑driven logistics forecasting, industry‑first NeRF‑based 3D product modeling, high‑definition live‑streaming, and a real‑time interactive gaming framework—demonstrating how infrastructure innovation can transform e‑commerce experiences.

NeRFaicloud-native
0 likes · 12 min read
How Taobao’s Double‑11 Tech Stack Redefined Shopping: Cloud‑Native DB, NeRF 3D, and Real‑Time Gaming
DaTaobao Tech
DaTaobao Tech
Jun 14, 2022 · Artificial Intelligence

Six Alibaba CVPR 2022 Papers: Summaries and Open‑Source Releases

Alibaba’s DaTaobao team presented six CVPR 2022 papers—covering video restoration, real‑time image enhancement, human‑object interaction detection, indirect illumination modeling, editable NeRFs, and robust NeRF reconstruction—with all code and models open‑sourced, and invites viewers to a live stream for detailed walkthroughs.

CVPRDeep LearningNeRF
0 likes · 5 min read
Six Alibaba CVPR 2022 Papers: Summaries and Open‑Source Releases
DaTaobao Tech
DaTaobao Tech
Jun 13, 2022 · Artificial Intelligence

Robust Neural Radiance Field Representation for Extrapolating Novel Views (RapNeRF)

RapNeRF enhances Neural Radiance Fields for extreme view extrapolation by introducing Random Ray Casting and a Ray Atlas, which together augment training data and store view‑dependent surface features, enabling robust, high‑quality novel‑view synthesis from sparse images and outperforming prior methods on synthetic and real datasets.

NeRFView Synthesisdata augmentation
0 likes · 8 min read
Robust Neural Radiance Field Representation for Extrapolating Novel Views (RapNeRF)
DaTaobao Tech
DaTaobao Tech
Jun 10, 2022 · Artificial Intelligence

NeRF-Editing: Geometry Editing of Neural Radiance Fields

NeRF‑Editing introduces an interactive framework that lets users freely deform the geometry of neural radiance fields by coupling an explicit mesh with implicit NeRF representations, propagating mesh vertex changes through tetrahedral ARAP optimization to bend rays during rendering, enabling realistic edits and animations on synthetic and real‑world scenes, a first reported at CVPR 2022.

3D reconstructionARAP deformationComputer Vision
0 likes · 6 min read
NeRF-Editing: Geometry Editing of Neural Radiance Fields
Code DAO
Code DAO
May 3, 2022 · Artificial Intelligence

How to Build Your Own NeRF Model in PyTorch – Step‑by‑Step Guide

This tutorial walks through the theory and implementation of Neural Radiance Fields (NeRF) in PyTorch, covering positional encoding, the MLP architecture, differentiable volume rendering, hierarchical sampling, training tricks, and references to the original research.

Hierarchical SamplingNeRFNeural Radiance Fields
0 likes · 23 min read
How to Build Your Own NeRF Model in PyTorch – Step‑by‑Step Guide