Xingang Pan (@XingangP)

2025-04-18 | โค๏ธ 146 | ๐Ÿ” 27


Synthesizing worlds with video diffusion models is often inconsistent โ€” moving the camera back and forth leads to different scenes. We propose ๐ŸŒ๐—ช๐—ผ๐—ฟ๐—น๐—ฑ๐— ๐—ฒ๐—บ, a memory-based approach that ensures consistent world simulation without relying on explicit 3D reconstruction. https://x.com/XingangP/status/1913161004672004253/video/1

๐Ÿ”— ์›๋ณธ ๋งํฌ

๋ฏธ๋””์–ด

video


Auto-generated - needs manual review

์ธ์šฉ ํŠธ์œ—

Zeqi Xiao (@zeqi_xiao)

While recent works like Genie 2, The Matrix, and Navigation World Models explore video generative models as world simulators, world consistency remains underexplored. In this work, we propose ๐ŸŒWorldMem๐ŸŒ, introducing a memory mechanism for long-term consistent world simulation. https://t.co/O3MTQxrLV6

์›๋ณธ ํŠธ์œ—

๐ŸŽฌ ์˜์ƒ

Tags

domain-vision-3d domain-genai domain-ai-ml domain-simulation