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.
Get the few papers worth your time in Computer Vision every morning.
Follow Computer Vision and ReadSearch reads its new papers each day, then brings you the few worth reading, each with its key finding in a sentence.
Newest papers, page 150
EgoAlign: Situated 3D Understanding without Situation Descriptions
Situated 3D Question Answering requires models to interpret a 3D scene relative to an agent's pose.DIGS: Distribution-Informed Gaussian Splatting for Training-Free Open-Vocabulary 3D Segmentation
Open-vocabulary 3D Gaussian segmentation typically binds semantic features to the per-Gaussian state via per-scene gradient training (1-4 h) or the more recent closed-form distillation.VGGA: Geometry-Grounded Autoencoder for Video Generation
Autoencoders are the core component of latent video generative models, compressing high-dimensional videos into compact latent spaces for downstream generation.MP-MNCA: Morphology-Prior Masked Neighbor Cross-Attention for Efficient Spatial Domain Identification
Spatial transcriptomics jointly captures molecular state, tissue morphology, and spatial organization, yet spatial-domain methods are typically compared only at late training checkpoints, obscuring…Look Back to Move Forward: Learning to Revisit for Agentic Compositional Image Generation
Text-to-image models have made remarkable progress in visual fidelity and instruction following, yet complex compositional generation remains challenging.Seg2Click: Learning Pixel-Level Action Masks for GUI Visual Grounding
Visual grounding is a central challenge for GUI agents, requiring an instruction to be mapped to a target within a crowded screenshot.MFlowHOI: Whole-Body Human-Object Interaction Generation via Part-Aware MeanFlow
Whole-body human-object interaction (HOI) generation requires coordinating body and finger motion, object trajectories, and time-varying contacts.EgoWholeView: Camera-Only Head-Mounted Capture of Body and Bimanual Hand Motion for Embodied Demonstrations
Head-mounted body and bimanual motion capture supports self-avatars, teleoperation, and embodied demonstrations.Hardware-Friendly Token-Group Activation Quantization for Low-Bit Mamba Super-Resolution
Mamba-based super-resolution models are efficient alternatives to Transformer-based restoration backbones, but their low-bit post-training quantization remains challenging because selective scan…Graph3R: Unifying View Graph Initialization with Feed-Forward Reconstruction
Feed-forward reconstruction recovers camera poses and dense geometry from image sets whose views are assumed to come from a single scene.FlowAvatar: Real-Time Full-Body Avatars from Sparse Egocentric Inputs on Consumer XR Devices
Prior avatar embodiment research has studied tracking completeness (how faithfully the body, hands, and face are sensed and reproduced) and personalized appearance in isolation, each requiring…DepthTile: Depth-Guided Existing-Image Self-Tiling with Input-Side Tileability Assessment
Existing-image self-tiling aims to transform a given image into a seamlessly repeatable tile while preserving its original semantics and local details.ProGAN-Based Synthetic Image Generation for Industrial Visual Inspection of Metallic Parts
Automated visual inspection is essential for efficient repair and recycling of metallic components.3D Gaussian Splatting for Fine-grained Urban Scene Reconstruction via Semantic-guided Density Control and Loss Design
3D Gaussian Splatting (3DGS) has been becoming a promising 3D reconstruction technique because of its advantage of high-fidelity rendering effect with high efficiency.ClothAtlas: Joint Garment Identification and State Estimation under Self-Occlusion
Garment manipulation requires inferring both garment identity and complete configuration from partial, self-occluded observations.Learning Temporal Evidence Selection for Video Anomaly Understanding
Video anomaly understanding (VAU) aims to generate language-level interpretations of anomalous events in long videos, requiring visual evidence that supports explanation beyond anomaly detection…RAR: Rate-Adaptive Rollout for Time-Consistent Interactive World Models
Video-based interactive world models aim to enable real-time, user-controllable environments.Building age estimation based on widely available multi-source1 geospatial data
Building age is fundamental for urban infrastructure safety, operation, and planning, as it directly affects structural safety, and sustainable development.Anomaly-Guided Observation and Two-Level Semantic Feedback for Training-Free Video Anomaly Analysis
Training-free language-based video anomaly detection (VAD) uses frozen vision--language models (VLMs) and large language models (LLMs) to localize abnormal events without task-specific model-weight…Explicitly Aligned Multi-View Breast Cancer Risk Prediction from Variable-Length Screening Histories
Accurate breast cancer risk prediction from screening mammography is essential for improved risk stratification and personalized screening.