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Amap Tech

Jul 9, 2025 · Artificial Intelligence

Bridging Human Perception and Video Motion Generation: VMBench & LD‑RPS

This article introduces VMBench, a perception‑aligned video motion generation benchmark with a five‑dimensional metric suite and meta‑guided prompt generation, and LD‑RPS, a zero‑shot unified image restoration framework using latent diffusion and recurrent posterior sampling, detailing their motivations, innovations, experiments, and future directions.

AI researchdiffusion modelsimage restoration

0 likes · 14 min read

Bridging Human Perception and Video Motion Generation: VMBench & LD‑RPS

Amap Tech

Jun 30, 2025 · Artificial Intelligence

SeqGrowGraph: Chain-of-Graph Expansion for Precise Lane Topology

SeqGrowGraph introduces a novel chain-of-graph expansion framework that incrementally builds lane topology graphs using a Transformer-based autoregressive model, achieving state‑of‑the‑art performance on large autonomous‑driving datasets such as nuScenes and Argoverse 2 by accurately modeling complex road structures.

Autonomous DrivingSequence ModelingTransformer

0 likes · 10 min read

SeqGrowGraph: Chain-of-Graph Expansion for Precise Lane Topology

Amap Tech

Jun 17, 2025 · Artificial Intelligence

Building an AI-Powered Testing Ecosystem: From Core Principles to Automation

This article explores how a testing team can abstract core testing capabilities, construct a unified testing ecosystem, and integrate AI at strategic points—from data aggregation and automated analysis to knowledge‑base driven requirement enhancement and fully automated test case generation—ultimately turning quality assurance into a collaborative human‑AI partnership.

AIKnowledge Graphautomation

0 likes · 37 min read

Building an AI-Powered Testing Ecosystem: From Core Principles to Automation

Amap Tech

Jun 5, 2025 · Artificial Intelligence

How MVPainter Achieves Accurate, High‑Detail 3D Texture Generation with Multi‑View Diffusion

MVPainter introduces a fully open‑source pipeline that generates high‑quality, PBR‑compatible 3D textures from a single reference image and a white model by leveraging multi‑view diffusion, geometric control, and a human‑aligned evaluation framework, dramatically improving texture fidelity, alignment, and detail.

3D texture generationAIPBR

0 likes · 10 min read

How MVPainter Achieves Accurate, High‑Detail 3D Texture Generation with Multi‑View Diffusion

Amap Tech

May 27, 2025 · Databases

OceanBase Unitization: Building the Next Generation of Online Map Applications

This paper presents the design, implementation, and experimental evaluation of OceanBase's unitization architecture for large‑scale online map services, demonstrating superior disaster‑recovery, high‑throughput OLTP/OLAP performance, and storage efficiency compared with competing distributed databases.

Distributed DatabaseOceanBaseOnline Maps

0 likes · 24 min read

OceanBase Unitization: Building the Next Generation of Online Map Applications

Amap Tech

May 27, 2025 · Artificial Intelligence

Gaode Map Custom Voice Pack: End‑to‑End TTS Model Architecture and Deployment

This article explains how Gaode Map leverages lightweight edge TTS models, dual‑autoregressive large‑model data augmentation, and a configurable audio‑processing DAG to enable users to create highly realistic personalized voice packs from just three recorded sentences.

Data AugmentationGaode MapsTTS

0 likes · 8 min read

Gaode Map Custom Voice Pack: End‑to‑End TTS Model Architecture and Deployment

Amap Tech

May 19, 2025 · Artificial Intelligence

Group Policy Gradient: Direct Objective Optimization for Faster Reinforcement Learning

The article introduces Group Policy Gradient (GPG), a reinforcement‑learning framework that eliminates surrogate loss functions and critic models, directly optimizes the original objective, reduces bias and variance, and achieves state‑of‑the‑art performance on both single‑modal and multimodal tasks.

AI researchLLM fine-tuningbias reduction

0 likes · 7 min read

Group Policy Gradient: Direct Objective Optimization for Faster Reinforcement Learning

Amap Tech

May 12, 2025 · Artificial Intelligence

How G3PT Uses Autoregressive Modeling to Revolutionize 3D Generation

The paper introduces G3PT, a groundbreaking autoregressive 3D generation model that employs a Cross‑Scale Querying Transformer and multi‑scale tokenization to produce high‑quality meshes from a single image, outperforming diffusion‑based methods and revealing a scaling law for 3D generation.

3D generationAI researchG3PT

0 likes · 9 min read

How G3PT Uses Autoregressive Modeling to Revolutionize 3D Generation

Amap Tech

May 8, 2025 · Artificial Intelligence

FantasyTalking: Realistic Talking Portrait Generation via Coherent Motion Synthesis

FantasyTalking generates high-fidelity, coherent talking portraits from a single static image by employing a two-stage audio-visual alignment—global segment-level motion and frame-level lip refinement—combined with face-centric cross-attention for identity preservation and a motion-intensity module that lets users control expression and body movement, achieving superior realism, synchronization, and performance over prior methods.

Video Diffusionaudio-visual alignmentdeep learning

0 likes · 10 min read

FantasyTalking: Realistic Talking Portrait Generation via Coherent Motion Synthesis

Amap Tech

Apr 21, 2025 · Artificial Intelligence

Lenna: Language‑Enhanced Reasoning Detection Assistant and a Chain‑of‑Thought Image Editing Framework Using Multimodal Large Language Models

At ICASSP 2025, Gaode’s two accepted papers present Lenna, a language‑enhanced reasoning detection assistant that adds a DET token to multimodal LLMs and achieves state‑of‑the‑art accuracy on RefCOCO benchmarks, and a chain‑of‑thought image‑editing framework that converts complex prompts into segmented masks and repair prompts for diffusion‑based inpainting, surpassing existing methods.

AIICASSPchain-of-thought

0 likes · 10 min read

Lenna: Language‑Enhanced Reasoning Detection Assistant and a Chain‑of‑Thought Image Editing Framework Using Multimodal Large Language Models