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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 236
MatLoom: Layered Text-to-Material Generation in a Compact Program Space
Material generation should produce not only an appearance, but also the rules that construct it.I Have a Stream: Making Self-Supervised Learning Work on Continuous Video
Self-supervised learning draws inspiration from infant visual development, yet standard training pipelines bear little resemblance to it: images are independently sampled and globally shuffled…Ego4WAM: What Matters When Scaling Egocentric Human Data for Robot Learning?
Egocentric human data provides a scalable source of experience for robot learning, but varies substantially in human-robot alignment, behavioral coverage, and available supervision.Image Classifiers are Efficient Self-Supervised Video Representation Learners
We introduce VideoMSN, a Masked Siamese Network framework for efficient self-supervised spatio-temporal representation learning in videos.AssemblyWorld: Rethinking 3D Assembly with General-Purpose Agents
The task of 3D assembly requires translating an understanding of parts and their relationships into precise spatial arrangements.ViTeX-Bench: Benchmarking High-Fidelity Video Scene Text Editing
Recent video generation is increasingly realistic and controllable, yet video editing remains less developed, particularly for precise local edits that must preserve the original scene dynamics.Physis-Lang: Self-Evolving Language as a Physical Representation for Video World Model
Video world models are expected to predict how the physical world evolves, yet they often produce visually plausible videos that violate basic physical principles.Ranking-Aware Prompt Optimization for Multimodal Clinical Diagnosis
Multimodal large language models (MLLMs) are rapidly advancing clinical diagnosis, yet their adaptation pipelines remain anchored to accuracy-based objectives.Multimodal Flow: Unified Flow Modeling of Language and Vision in Embedding Spaces
We present Multimodal Flow, a fully continuous generative model of language and vision.Diffusion Editing with Soft Mask: Pixel Level Redo of Image and Video with Adjustable Strength
Diffusion models with prompt and reference image-guided editing have seen rapid progress, yet they remain too coarse for pixel-level control.DexPolicy: Scheduled Exploration for Trajectory-Guided Dexterous Manipulation
Reinforcement learning (RL) for dexterous manipulation must discover finger-object contacts and then control the object precisely; the action noise that serves the first goal can interfere with the…Manifold-Constrained Initial Noise Optimization for Efficient Generative Model Alignment
Recent advances in distillation and flow-map models have enabled deterministic one- or few-step generation for high-quality data, facilitating a new branch of reward alignment approaches that…RIQE: a NIQE-style reference model for Computed Tomography
The Natural Image Quality Evaluator (NIQE) scores an image by its statistical distance from a model fitted on pristine images, and its distributed model is fitted on photographs.From Image Latent Space to Fuzzy Rules: Interpretable Analysis of Gastrointestinal Foundation Model
Foundation models pretrained on large-scale datasets demonstrate strong transferability to medical imaging tasks.Scores That Hold, Benchmarks That Leak: Measuring Dataset Contamination in Public Brain-Tumor MRI Classification
Automated classification of brain tumors from MRI is a heavily published application of deep learning in medical imaging, with reported accuracies on public benchmarks routinely exceeding 98%.Frozen Scenes, Shifting Winners: Configuration Fragility in Text-to-3D Evaluation
Can a text-to-3D leaderboard change when every generated scene stays fixed?PACT: End-to-End Learning of Human Pose, Contacts, and Forces from Video
Human motion, environmental contacts, and interaction forces are governed by common physical laws, yet existing approaches typically separate visual pose reconstruction from contact and force…PixelDense: Dense Prediction as Representation Alignment for Pixel Diffusion
Representation alignment (REPA) accelerates diffusion transformer training, but its alignment targets are almost exclusively semantic encoders such as DINOv2 and CLIP.Memorizon: Training World Models Beyond Their Context Window
Streaming world models should render a place consistently across repeated visits.PhysVista: Benchmarking Physical Intelligence in VLMs via a Perception-Reasoning-Assessment Loop
Vision-Language Models (VLMs) have shown strong multimodal reasoning capabilities, yet whether they truly capture the physical consistency underlying real-world dynamics remains unclear.