naveen manwani (@NaveenManwani17)

2024-08-18 | ❤️ 24 | 🔁 8


🚨ECCV 2024 Paper Alert 🚨

➡️Paper Title: SlotLifter: Slot-guided Feature Lifting for Learning Object-centric Radiance Fields

🌟Few pointers from the paper

🎯The ability to distill object-centric abstractions from intricate visual scenes underpins human-level generalization. Despite the significant progress in object-centric learning methods, learning object-centric representations in the 3D physical world remains a crucial challenge.

🎯In this work, Authors have proposed “SlotLifter”, a novel object-centric radiance model that aims to address the challenges of scene reconstruction and decomposition via slot-guided feature lifting.

🎯Such a design unites object-centric learning representations and image-based rendering methods, offering state-of-the-art performance in scene decom-position and novel-view synthesis on four challenging synthetic and four complex real-world datasets, outperforming existing 3D object-centric learning methods by a large margin.

🎯Through extensive ablative studies, they showcased the efficacy of each design in SlotLifter, shedding light on key insights for potential future directions.

🏢Organization: State Key Laboratory of General Artificial Intelligence, BIGAI, @Tsinghua_Uni

🧙Paper Authors: Yu Liu, @BaoxiongJ , @_yixinchen , @siyuanhuang95

1️⃣Read the Full Paper here: https://arxiv.org/abs/2408.06697

2️⃣Project Page: https://slotlifter.github.io/

3️⃣Code: Coming 🔜

🎥 Be sure to watch the attached Video -Sound on 🔊🔊

🎵Music by Dage FromNowhere from @pixabay

Find this Valuable 💎 ?

♻️QT and teach your network something new

Follow me 👣, @NaveenManwani17 , for the latest updates on Tech and AI-related news, insightful research papers, and exciting announcements.

ECCV2024

미디어

video


Tags

domain-vision-3d domain-rendering domain-dev-tools