On Unifying Video Generation and Camera Pose Estimation
from Arxiv Papers Hosted by Igor Melnyk
The paper introduces JOG3R, a unified model that enhances video generation and camera pose estimation, demonstrating improved accuracy in 3D awareness through fine-tuning and feature repurposing. https://arxiv.org/abs//2501.01409 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016 Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
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