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: 4,996 arXiv preprints and 4 OpenAlex records.
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 240
Quantum Fidelity Landscape-Guided Prior Calibration for Single-Circuit QGAN Image Generation
Quantum Generative Adversarial Networks (QGANs) have emerged as representative generative models in the Noisy Intermediate-Scale Quantum (NISQ) era and have attracted increasing attention in quantum…Drag as Evidence: Motion-Grounded Latent Recomposition for Drag-Based Editing
Modern image editors excel at semantic manipulation and visual synthesis, yet remain limited in precise spatial control, motivating the development of drag-based editing.NesTok: Nested Self-Aligned 1D Tokenizer for Autoregressive Image Generation
One-dimensional (1D) variable-length visual tokenizers enable adaptive compression by varying the number of tokens, allowing downstream autoregressive (AR) models to flexibly trade off generation…FastVR: Efficient Streaming Video Restoration with One-Step Diffusion
Diffusion-based video restoration recovers realistic details, but its practical deployment is limited by two efficiency bottlenecks: costly VAE encoding and decoding, and the quadratic cost of full…Dual-Mode Low-Rank Learner with Bridge-Prototype Ensemble for Vision-Language Class-Incremental Learning
Benefiting from transferable visual-textual alignment, CLIP has been widely adopted for class-incremental learning (CIL).Emergent Specialization in Populations of Self-Supervised Collaborative Vision Experts Without a Shared Gate or Cross-Agent Gradients
Can a population of neural networks develop a useful division of labor without a shared gate or gradients between agents?DSPO: Diversity-aware Subjective Policy Optimization for Robust Emotional Reasoning
Reinforcement Learning has significantly advanced the complex reasoning capabilities of MLLMs.Causal-EVC: Breaking Emotional Spurious Causality via Spatiotemporal Grounding and Counterfactual Intervention
Emotional Video Captioning aims to generate factually accurate and emotionally empathetic descriptions.DRHeC: Differentiable Rendering for Hand-Eye Calibration with RGB-Based Gradients
Accurate hand-eye calibration is crucial for precision manipulation.Decoding Affective Nuances: Enhancing MLLMs via Hierarchical Emotion Reasoning and Contrastive Discriminative Pruning
While multimodal large language models (MLLMs) have demonstrated exceptional capabilities in objective understanding tasks, their performance in affective reasoning still falls significantly short…Seeing What Should Be Heard: Diagnosing and Repairing Cross-Modal Shortcuts in Omni-Modal LLMs
Omni-modal large language models (LLMs) are expected to answer a question using the modality it explicitly refers to.Scene Retargeting: Learning Object Placement with Analogical Transfer
Interactive simulations of embodied AI or spatial computing applications build on realistic 3D scenes that support daily activities.EGSD: Event-Grounded Self-Distillation for Streaming Video Understanding
Real-time video understanding requires incrementally maintaining a memory of streaming content, and optimizing this requires dense process signals.MeteoVerse: Unified Weather-Controllable Video World Model
Video world models aim to predict future content from an observed scene while following prescribed camera motion.CurvSpec: Adaptive Multi-Curvature Learning for Partial Relevant Video Retrieval
Partially Relevant Video Retrieval (PRVR) seeks to retrieve untrim-med videos containing a moment that matches a text query, without temporal annotations.RED: Reconstruction Evolution Dynamics for Generalizable AI-Generated Image Detection
The rapid evolution of image generators calls for forensic cues that generalize beyond known generation mechanisms.Learning via Self-Consistency for Diffusion-based Video Reasoning
Video generation models have demonstrated emerging zero-shot capabilities for visual reasoning, perception, and other vision tasks.Motion Concept Unlearning in Video Diffusion Models
Text-to-video (T2V) diffusion models can generate realistic depictions of actions such as kicking, stabbing, and shooting, raising safety concerns that motivate targeted concept erasure.You Cannot Recover What Was Never Measured: Quantifying the Information Ceiling of Ultra-Low-Field MRI Super-Resolution
Generative super-resolution models can turn portable 64 mT MRI into images that look like 3T scans, and the field evaluates them with PSNR, SSIM, and pixelwise uncertainty, most often on pairs built…On-Policy Visual Evidence Distillation
Visual agents solve problems by interleaving reasoning with image operations, and on-policy distillation (OPD) provides guidance from a strong teacher on student-generated interaction trajectories.