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MAMHOI: Factorizing Scene-Aware Human-Object Interaction through Affordances

Paper recorded by Signals 4 on 2026-10-08 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-08 on arXiv · recorded by Signals 4 on 2026-10-09

Category: cs.AI · 人工智能 · first seen 2026-10-09

Abstract

Generating realistic human-object interactions (HOI) in complex 3D scenes requires two complementary capabilities: reasoning about interaction feasibility in the environment and synthesizing realistic human-object motion. However, supervision for these capabilities is rarely available jointly at scale. Human-scene datasets provide rich information about environment-aware motion, while human-object

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#368 most recent of 960 cs.AI papers we have recorded · ↑ newer: RoboRSI: Stable, efficient, and reusable robot self-evolution in compl · ↓ older: Predicting Alignment Generalization with Value Representations
Cite this page: MAMHOI: Factorizing Scene-Aware Human-Object Interaction through Affordances: the #368 most recent of 960 cs.AI papers we have recorded (as of 2026-10-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/mamhoi-factorizing-scene-aware-human-object-interaction-through-affordances.html
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