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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: 4,996 arXiv preprints and 4 OpenAlex records.
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Newest papers, page 243
Spatial-OPSD: Self-Improving Spatial Reasoning via Label-Free Self-Distillation
Vision-language models (VLMs) increasingly operate in embodied and spatially grounded settings, where accurate understanding of depth, viewpoint, and three-dimensional relations is essential.Context without Commitment: Robust Dense Correspondence under Non-Rigid Deformation
Non-rigid point-cloud registration aims to find the corresponding target point for each point on a deforming source surface.LDM-is-AE: Latent Diffusion Model is an Auto-Encoder for End-to-End Image Generation
Latent Diffusion Models (LDMs) typically adopt a two-stage pipeline: an auto-encoder (AE) is first pre-trained to define a latent space, then a diffusion model is trained to perform denoising within…Real2Gym: Building Gyms from Videos, Bringing Skills to Robots
Real-world videos provide rich demonstrations of manipulation, but turning them into reusable robot skills requires visually aligned environments, executable physical interactions, and mechanisms…Task-Oriented Visual Feature Compression via Residual Vector Quantization for Device-Edge Multimodal Inference
Large multimodal models (LMMs) support diverse visual understanding and reasoning tasks but are often impractical to run entirely on resource-constrained devices.Why MLLMs Struggle to Count: Overcoming Individuation and Aggregation Bottlenecks with ConvStack
Multimodal Large Language Models (MLLMs) consistently struggle with fine-grained visual counting, yet the underlying causes remain poorly understood.V2X-WAM: A Cooperative World Action Model for End-to-End Autonomous Driving
Vehicle-infrastructure cooperation can complement onboard sensing with broader and more informative observations of the traffic environment, providing valuable support for end-to-end autonomous…Waypoint-1.5: A Real-Time Video World Model for Consumer Hardware
We present Waypoint 1.5, a real-time diffusion world model for interactive video generation on consumer-grade hardware.NRF-GS: Neural Residual Fields for Expressive and Compact Gaussian Splatting
We revisit the role of appearance modeling in 3D Gaussian Splatting (3DGS) and show that limited expressiveness in view-dependent reflectance is a key driver of representation redundancy.EviViT: Evidence-Adaptive Vision Transformers for Fine-Grained Perception
Fine-grained visual perception enables vision-language models to distinguish subtle attributes and ground their answers in visual evidence.Multi-Granularity Language-Guided Imitation Learning via Instruction Decomposition
Using language instructions as conditions to guide robot policy learning has recently become an important research domain.TaoFlowForge: Progressive Native Mesh Generation via Cascaded Flow Matching
3D content generation technology has significantly advanced the work of designers, as well as the 3D printing and gaming industries.MSTypography: Multi-character Semantic Typography via Balancing Word Legibility and Object Recognizability
Semantic typography is a design technique where the visual representation of a word conveys its semantic meaning, while maintaining its legibility.Improved Distributional Diffusion Models
Distributional Diffusion Models (DDMs) replace the standard mean-prediction denoiser with a \emph{distributional} denoiser trained via a scoring rule objective, learning a stochastic approximation…Multimodal Detection of Higher-Order Behavioral Constructs: Self-Compassion in Structured Reflective Interaction
Many of the qualities that matter most in how people learn and grow, how someone regulates their emotions, reflects on a setback, or stays aware of others during a difficult conversation, are not…End-to-End Self-Supervised RGB-T Tracking without Modality Misleading
RGB-T object tracking leverages the complementary characteristics of visible and thermal infrared modalities to improve robustness under adverse conditions.Sparse cubical complexes for efficient topology-preservation in image data
Persistent homology (PH) is a frequently used tool for extracting and preserving topological information from image data, particularly in image segmentation, where preservation of topological…InsightMap: Structured Spatial Modeling for Embodied Multimodal Reasoning
Language-guided navigation requires connecting partial observations to a persistent spatial reference and learning how actions change that representation.HaPRL: Human-Anchored Process Reinforcement Learning for Visual Search Agent
Multi-turn visual search agents answer questions about high-resolution images by iteratively deciding where to look.Exploring In-Context Learning for Handwritten Text Recognition
Handwritten Text Recognition (HTR) systems have become an indispensable tool for the digitization of historical documents.