Neural Rendering

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 reconstructionGenerative AINeural Rendering

0 likes · 14 min read

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

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.

Neural RenderingView Synthesiscomputer vision

0 likes · 8 min read

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

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 deformationNeural Rendering

0 likes · 6 min read

NeRF-Editing: Geometry Editing of Neural Radiance Fields

DaTaobao Tech

Jun 8, 2022 · Artificial Intelligence

Modeling Indirect Illumination for Inverse Rendering

The CVPR‑2022 paper by Alibaba’s Taobao Tech and Zhejiang University introduces a neural‑radiance‑field‑based method that directly models indirect illumination via a signed‑distance‑field geometry and spherical‑Gaussian visibility, avoiding costly path tracing and enabling more accurate recovery of geometry, material and lighting for realistic free‑viewpoint relighting.

BRDFNeural Renderingcomputer vision

0 likes · 9 min read

Modeling Indirect Illumination for Inverse Rendering

DaTaobao Tech

Mar 21, 2022 · Artificial Intelligence

Neural Rendering Based 3D Modeling and Multi‑Video Visual Localization for E‑commerce

The paper presents Object Drawer, a Taobao Tech system that uses neural‑rendering and a SuperPoint‑SuperGlue‑based SfM pipeline—enhanced by sparse sampling, loop constraints, frame‑skipping, and a novel 2D‑matching‑3D‑solving alignment across multiple videos—to achieve 99.3% visual‑localization success and high‑quality 3‑D reconstructions with pixel‑accurate segmentation for e‑commerce displays.

3D reconstructionMulti-view Pose AlignmentNeural Rendering

0 likes · 9 min read

Neural Rendering Based 3D Modeling and Multi‑Video Visual Localization for E‑commerce

Architects' Tech Alliance

Nov 5, 2021 · Artificial Intelligence

GPU Architecture in the AI Era: From Specific‑Domain Designs to 3D/AI Fusion

The article analyzes how GPU architecture, originally designed for 3D graphics, is being reshaped by AI demands through specific‑domain designs, hardware/software interfaces, tensor acceleration, and 3D/AI convergence, ultimately arguing that GPUs will remain the central compute platform in the new golden age of computer architecture.

3D renderingArtificial IntelligenceComputer Architecture

0 likes · 14 min read

GPU Architecture in the AI Era: From Specific‑Domain Designs to 3D/AI Fusion