Imagination

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19 papers in the last four weeks, up 375% on the four weeks before. 0.2% of all new papers.

Jul 13Week of Sep 28

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Beyond Thinking: Imagining in 360 $^\circ$ for Humanoid Visual Search
May 9, 2026Jingdong Zhang, Yizhou Wang, Zhengzhong Tu +3Multimodal Search Agents Spatial Priors
Texas A&M University · Adobe
CASCADE: Context-Aware Relaxation for Speculative Image Decoding
May 8, 2026Selin Yildirim, Subhajit Dutta Chowdhury, Mohammad Mahdi Kamani +2Speculative Decoding Autoregressive Image Generation
AMD
R $^3$ L: Reasoning 3D Layouts from Relative Spatial Relations
May 7, 2026Zhifeng Gu, Yuqi Wang, Bing Wang3D Layout Generation 3D Spatial Reasoning
Spatial Intelligence Group, The Hong Kong Polytechnic University.
When to Trust Imagination: Adaptive Action Execution for World Action Models
May 7, 2026Rui Wang, Yue Zhang, Canyang Chen +3Efficient World-Action Model World Models
Southern University of Science and Technology, Shenzhen, China · The University of Hong Kong, Hong Kong, China
On Training in Imagination
May 7, 2026Nadav Timor, Ravid Shwartz-Ziv, Micah Goldblum +2Model-Based Reinforcement Learning Rollout
Weizmann Institute of Science · New York University · Columbia University
ELVIS: Ensemble-Calibrated Latent Imagination for Long-Horizon Visual MPC
May 6, 2026Yurui Du, Pinhao Song, Yutong Hu +1Long-Horizon Planning Model-Based Reinforcement Learning
KU Leuven, Dept. Electrical Engineering, Research unit Processing Speech and Images, B-3000 Leuven, Belgium · Flanders Make at KU Leuven, B-3000 Leuven, Belgium · KU Leuven, Dept. Mechanical Engineering, Research unit Robotics, Automation and Mechatronics, B-3000 Leuven, Belgium
Dream-MPC: Gradient-Based Model Predictive Control with Latent Imagination
May 6, 2026Jonathan Spieler, Sven BehnkeModel Predictive Control Model-Based Reinforcement Learning
Autonomous Intelligent Systems, Computer Science Institute VI - Intelligent Systems and Robotics, Center for Robotics and the Lamarr Institute for Machine Learning and Artificial Intelligence, University of Bonn, Germany.
World Model for Robot Learning: A Comprehensive Survey
Apr 30, 2026Bohan Hou, Gen Li, Jindou Jia +15World Models Scalable Robot Learning
Nanyang Technological University · University of California, Berkeley · Stanford University +6
Using Machine Mental Imagery for Representing Common Ground in Situated Dialogue
Apr 22, 2026Biswesh Mohapatra, Giovanni Duca, Laurent Romary +1Multimodal Agents Dialogue
Inria · University of Trento · Work done during Master’s thesis at Inria. +1
SpatialImaginer: Towards Adaptive Visual Imagination for Spatial Reasoning
Apr 19, 2026Yian Li, Yang Jiao, Bin Zhu +4Spatial Reasoning Multimodal Large Language Models
College of Computer Science and Artificial Intelligence, Fudan University · School of Computing and Information Systems, Singapore Management University · School of Computer Science and Technology, East China Normal University +2
What if? Emulative Simulation with World Models for Situated Reasoning
Mar 6, 2026Ruiping Liu, Yufan Chen, Yuheng Zhang +8Imagination Spatial Reasoning
Karlsruhe Institute of Technology · Hunan University · ETH Zürich +2
Imagination Helps Visual Reasoning, But Not Yet in Latent Space
Feb 26, 2026You Li, Chi Chen, Yanghao Li +4Latent Visual Reasoning Visual Reasoning
School of Computer Science and Technology, Beijing Jiao-tong University · Key Laboratory of Big Data & Artificial Intelli-gence in Transportation (Beijing Jiaotong University), Ministry of Education · Tsinghua University
Imagine-then-Plan: Agent Learning from Adaptive Lookahead with World Models
Jan 13, 2026Youwei Liu, Jian Wang, Hanlin Wang +2Imagination World Models
Central South University · Department of Computing, The Hong Kong Polytechnic University · College of Computer Science, Sichuan University
Psychological Imagination Networks Show Cross-Population Centrality and Clustering Alignment in Humans That Large Language Models Fail to Replicate
Oct 5, 2025Saurabh Ranjan, Brian OdegaardImagination Multiple Centrality Measures
University of Florida
Imagine2Act: Leveraging Object-Action Motion Consistency from Imagined Goals for Robotic Manipulation
Sep 21, 2025Liang Heng, Jiadong Xu, Yiwen Wang +6Real-World Manipulation Tasks Imagination
CFCS, School of Computer Science, Peking University · PrimeBot · AGIBOT

May 9, 2026, cs.CVJ/K move · Enter open · S save

Beyond Thinking: Imagining in 360 $^\circ$ for Humanoid Visual Search

Jingdong Zhang, Yizhou Wang, Zhengzhong Tu, Xin Li+2

Texas A&M University · Adobe

Multimodal Search Agents Spatial Priors Imagination Chain-of-Thought Reasoning Image Generation

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Humanoid Visual Search (HVS) requires agents to actively explore immersive 360

^\circ

environments. While prior methods treat this as a monolithic task relying on cumulative, multi-turn Chain-of-Thought (CoT) reasoning, they impose heavy cognitive burdens and require expensive trajectory-level annotations. In this paper, we propose Imagining in 360

^\circ

, a novel framework that decouples the exploration process into a specialized Imaginator and an Actor. The Imaginator functions as a probabilistic predictor of spatial priors; instead of maintaining a cumulative reasoning chain, it infers the semantic layout of both observed and unobserved regions in a single step. By sampling multiple hypotheses within this semantic space, we provide the Actor with a distribution of effective spatial information, offering robust guidance that hedges against uncertainty during active search. This decoupled architecture significantly lowers data engineering costs by eliminating the need for full-trajectory CoT annotations, enabling the generation of over 1.96 million curated training samples. Extensive experiments demonstrate that explicitly modeling semantic spatial priors drastically improves search efficiency and success rates in complex, in-the-wild environments.

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