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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 86
Self-Supervised Multibeam Sonar Restoration via Coherent Forward Modeling
Multibeam imaging sonar produces intensity images degraded by coherent speckle and system-induced blur, while clean reflectivity targets are rarely available.AgentVQA: A Unified Benchmark for Agentic Visual Understanding
Vision-language models (VLMs) can perform a broad range of tasks across diverse settings, yet their performance in agentic contexts remains poorly understood.Evaluation of Uncertainty-Aware Multi-Software Ensembles for Hippocampal Segmentation
Accurate hippocampal segmentation can be a useful tool for diagnosing and monitoring neurological conditions such as Alzheimer's disease and epilepsy.Diffusion-Based Synthesis of Complete 3D Biparametric Prostate MRI
Synthetic biparametric MRI (bpMRI) may help alleviate the limited availability of large and representative prostate MRI datasets for deep learning applications.LACToS: Local Anomaly Detection via Conditional Typicality of Superpixels
Local anomaly detection is the task of identifying spatially confined anomalous or out-of-distribution (OOD) regions within an otherwise in-distribution (ID) image.Squaring-the-Sphere: Distortion-Free and Seamless Panorama Generation via CubeAtlas
Generating 360-degree panoramas requires both local perspective fidelity and global spherical continuity.CellTrack-Bench: Microscopic Cell Tracking Benchmark for Vision-Language Models
Large language models have shown outstanding performance on text-first tasks such as coding, math, and writing.Beyond Best-of-$k$: Prior-Consistent DAPS for Ambiguous Nonlinear Inverse Problems
Diffusion models have become strong priors for solving inverse problems.F2G-Pose: Geometry-Aware Foundation Feature Lifting for Direct RGB-D Category-Level Object Pose Estimation
This paper studies category-level RGB-D object pose estimation, which recovers an object's 3D rotation and translation without instance-specific CAD models or reference views.HiP3R: Hierarchical Pose Graphs for Long-Horizon 3D Reconstruction
Feed-forward models accurately estimate camera motion and 3D geometry from short video windows.WorldForge V2: Eliciting Camera-Trajectory Alignment in Video Diffusion Models
Video diffusion models have learned rich 3D/4D priors, making them promising for scene generation and video re-rendering.UniVOE: A Removal-Driven Framework for Interaction-Aware Universal Video Object Editing
Video object removal and injection are reciprocal editing operations between object-present and object-absent video states, yet they differ substantially in training difficulty.GigaBench: Benchmarking Learnable Representations for Gigapixel Image Compression and Super-Resolution
Learnable Representations (LRs) can fit parametric families of functions to diverse kinds of signals.OmniRay: Camera-Agnostic Monocular 3D Reconstruction with Composite Ray Fields
Monocular models recover 3D geometry from a single image in one pass, but most assume a pinhole camera and produce distorted geometry on the wide-angle imagery produced by fisheye and panoramic…Gate3DGen: A Pre-processing Model that Selectively Purifies Real-World Images for 3D Generation
Single-image 3D generation has achieved high fidelity on curated benchmarks, yet degrades sharply on real-world images with uneven illumination, blur, and occlusions.BrickWright: Agentic Creation of Physically Feasible Brick Builds
Frontier coding agents are becoming increasingly adept at 3D modeling.SpectralCanary: Embarrassingly Simple Low-Frequency Traces for T2I Dataset-Use Auditing
Auditing whether a text-to-image (T2I) model was fine-tuned on a particular image collection is difficult: a model can absorb collection-level visual characteristics without reproducing training…Reading, Writing, Sharing, and Interacting with the World through Video
Video foundation models have advanced rapidly in understanding and generating visual sequences, while video world models seek to capture the underlying dynamics of the world they depict.Sensorimotor Alignment: A Platonic Proxy for Embodied Policy Success
Robot foundation models are typically evaluated through costly closed-loop rollouts, motivating low-cost offline proxies for model capability.A Unified Framework for Image-to-3D Part Generation via Variable Granularity
Controllable 3D part generation is pivotal for digital asset creation, yet existing methods lack the flexibility to accommodate diverse user workflows requiring varying levels of control.