AI & Machine Learning · Computer Science & AI
Computer Vision
The newest papers in Computer Vision that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
The newest 5,000 papers, from 29 September 2026 to 5 November 2026: 4,999 arXiv preprints and 1 OpenAlex record.
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Newest papers, page 148
Action Jets: Learning the Local Shape of the Action-conditioned Data Manifold
World models are a powerful means of reasoning and planning, but many of these action-conditioned predictive models are high dimensional and computationally expensive.How Far Can Coding Agents Go in Visual Generation?
Modern image generation largely relies on specialized generative models that leave the process of image construction implicit in learned parameters.RingNav: Task-Shaped Circular Memory for Visual Heading
Tiny robots have limited computation and memory, yet visual navigation systems often maintain more state than a task requires.Focus, Align, and Diffuse: Time-Series-Aware Keyframe Diffusion for Cardiac Dynamic Synthesis from Sparse Observations
Dense cardiac dynamics are essential for assessing cardiac function, yet in practice clinicians often observe only extremely sparse measurements.Why Do VLMs Fail at Remote Physiological Measurement? Rethinking with Physiological Grounding and Numerical Alignment
Video-based remote physiological measurement (RPM) has broad applications, while Vision-Language Models (VLMs) provide a promising opportunity to enable end-to-end physiological monitoring for…WorldMemBench: A Comprehensive Benchmark for Memory of Video World Models
As video models enable longer and more realistic interactive experiences, maintaining a world consistent with its history becomes essential.MonoMIP: Multi-Height Inverse Perspective Mapping for Monocular 3D Object Detection
Monocular 3D object detection methods increasingly rely on depth-guided transformers, but they operate entirely in the perspective image plane where spatial relationships are distorted by…GroundGUI: GUI Grounding by High-Quality Data and Distillation-to-Reinforcement Learning
Constructing robust GUI agents relies on multimodal visual grounding: the ability to precisely map natural language intents to actionable on-screen components.The Gap Is in the Geometry: A Convergent Meta-Analysis of Multi-Facet Aerial and Remote Sensing Video Understanding
Aerial and remote sensing video is increasingly evaluated like web video, by posing multiple-choice questions to multimodal large language models (MLLMs) over sampled frames and reporting accuracy.Towards a Data-Centric Understanding of Spatial Reasoning in Multimodal Large Language Models
Multimodal Large Language Models (MLLMs) have been widely applied in embodied agents and robotics for vision tasks.DoReMe: Dual optimization of Reconstruction and Motion estimation for self-navigated free-breathing abdominal MRI using Gaussian Splatting
Free-breathing abdominal MRI is limited by respiratory motion, which introduces image artifacts and k-space inconsistencies.Agronomic Characterization and Time-Series UAV Phenotyping to Support Field Pea Breeding in Iowa
Field pea has gained interest in the Midwest U.S. and has the potential to benefit Iowa cropping systems.Into the LidarVerse: A Real-Time Unified LiDAR World Model Across Tasks and Sensors
We present LidarVerse, a real-time unified LiDAR world model for sensor simulation across tasks and sensors.Decoupled Drift-Diffusion World Models for Consistent Future Frame Prediction
World models of visual information predict future image frames conditioned on given action sequences.A Gradient-Regularized Deep Learning Method for Restoring Image in Myopic Vision
Myopic vision degrades the quality of human vision due to spherical eye defocus aberrations that impair the perception of fine spatial details.Riding the Fixed-Point Curve: Image Classification in the Continuous Thought Machine
The Continuous Thought Machine (CTM) is a recurrent network that attends to inputs and makes predictions based on the synchronization between its neurons.Long-horizon Video Generation with Slot Memory Addressed By Region Tokens
Memory for long-horizon video generation must satisfy two competing requirements: it must remain bounded so generation can continue indefinitely, while still recovering what was observed at a place…LAMP: 3D Source-Aware Lighting Estimation at Multiple Points
Existing illumination estimation methods primarily recover lighting distributions for rendering, but typically leave the contributions of individual physical light sources at specific scene…Deep Learning for Atmospheric Turbulence Mitigation: A Comparison Between GANs and Transformers
Atmospheric turbulence creates complex spatial and temporal distortions that significantly reduce image quality.Kandinsky S2V 1.0: Audio-Driven Avatar Video Generation
We present Kandinsky S2V 1.0, an open family of speech-to-video models for controllable audio-driven human animation, comprising Kandinsky S2V 1.0 Lite (2B parameters) and Kandinsky S2V 1.0 Pro (21B…