Tagged articles

Novel View Synthesis

4 articles · Page 1 of 1

Jul 27, 2026 · Artificial Intelligence

UniWorld-View Tops WorldScore, Letting AI Infer Unseen Spaces and Create New View Videos

UniWorld-View advances world‑model research by introducing occlusion‑aware point‑cloud rendering and a dual‑stream conditioning architecture that lets AI infer unseen 3D geometry from a single image or video and generate high‑quality novel‑view videos, earning the top spot on the WorldScore leaderboard.

AI video generationNovel View SynthesisPoint Cloud Rendering

0 likes · 11 min read

UniWorld-View Tops WorldScore, Letting AI Infer Unseen Spaces and Create New View Videos

JD Cloud Developers

Apr 22, 2025 · Artificial Intelligence

How AI Turns 2D Videos into Immersive 3D Spatial Content at Scale

Leveraging 3D vision and AIGC, JD Retail’s R&D team converts abundant 2D video assets into high‑quality stereoscopic 3D space videos through a pipeline that includes monocular depth estimation, novel view synthesis, multi‑branch inpainting, and MV‑HEVC encoding, validated by ICME 2025 and a new StereoV1K dataset.

3D videoAIGCDepth Estimation

0 likes · 26 min read

How AI Turns 2D Videos into Immersive 3D Spatial Content at Scale

JD Tech Talk

Apr 22, 2025 · Artificial Intelligence

End-to-End 3D Spatial Video Generation via Monocular Depth Estimation, Novel View Synthesis, and MV-HEVC Encoding

Leveraging AI-driven monocular depth estimation, novel view synthesis, and MV‑HEVC encoding, the JD Retail Content R&D team presents an end‑to‑end pipeline that converts 2D video assets into high‑quality immersive 3D spatial videos, introduces the large‑scale StereoV1K dataset, and demonstrates superior performance over existing methods.

3D video generationAIGCMV-HEVC

0 likes · 22 min read

End-to-End 3D Spatial Video Generation via Monocular Depth Estimation, Novel View Synthesis, and MV-HEVC Encoding

JD Tech

Apr 21, 2025 · Artificial Intelligence

End-to-End 3D Spatial Video Generation via Monocular Depth Estimation, Novel View Synthesis, and MV‑HEVC Encoding

This article presents a comprehensive AI‑driven pipeline that converts 2D video into immersive 3D spatial video by leveraging monocular depth estimation, depth‑warping novel view synthesis, a multi‑branch inpainting module, a large‑scale StereoV1K dataset, and efficient MV‑HEVC compression, with results validated at ICME 2025 and deployed in JD Vision services.

3D videoAIAIGC

0 likes · 20 min read