Replica is a new dataset of 18 highly detailed 3D reconstructions of indoor spaces with meshes, high-resolution HDR textures, per-primitive semantics, and mirror/glass reflectors for realistic ML training.
Lawrence Zitnick, and Devi Parikh
3 Pith papers cite this work. Polarity classification is still indexing.
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Introduces the QEVD benchmark for asynchronous situated interaction in fitness coaching and proposes a streaming baseline to address limitations of existing vision-language models.
GPT-4V processes interleaved image-text inputs generically and supports visual referring prompting for new human-AI interaction.
citing papers explorer
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The Replica Dataset: A Digital Replica of Indoor Spaces
Replica is a new dataset of 18 highly detailed 3D reconstructions of indoor spaces with meshes, high-resolution HDR textures, per-primitive semantics, and mirror/glass reflectors for realistic ML training.
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What to Say and When to Say it: Live Fitness Coaching as a Testbed for Situated Interaction
Introduces the QEVD benchmark for asynchronous situated interaction in fitness coaching and proposes a streaming baseline to address limitations of existing vision-language models.
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The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision)
GPT-4V processes interleaved image-text inputs generically and supports visual referring prompting for new human-AI interaction.