Feb. 2, 2024, 3:42 p.m. | Vadim Tschernezki Ahmad Darkhalil Zhifan Zhu David Fouhey Iro Laina Diane Larlus Dima Damen An

cs.CV updates on arXiv.org arxiv.org

Neural rendering is fuelling a unification of learning, 3D geometry and video understanding that has been waiting for more than two decades. Progress, however, is still hampered by a lack of suitable datasets and benchmarks. To address this gap, we introduce EPIC Fields, an augmentation of EPIC-KITCHENS with 3D camera information. Like other datasets for neural rendering, EPIC Fields removes the complex and expensive step of reconstructing cameras using photogrammetry, and allows researchers to focus on modelling problems. We illustrate …

augmentation benchmarks cs.cv datasets epic fields gap geometry information neural rendering progress rendering understanding unification video video understanding waiting

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