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.
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Newest papers, page 225
Controllable Multi-label Video Safety Detection via Adaptive Tversky Policy Optimization
The rapid growth of video-based social media has increased users' exposure to harmful content, creating a need for reliable automated video safety detection.Task-Adaptive Grounded 3D-Programmers Using 2D VLMs
Recent vision-language models (VLMs) exhibit remarkable generalization and reasoning abilities, yet 3D understanding in these models is limited by data scale, training diversity, and reasoning…DiDE:Direct Injection with Color-Texture DEcoupling for 3D Stylization
Recent advances in rectified flow-based image-to-3D generative models have enabled high-fidelity 3D asset generation.Form and Void: Entangled Composition through an Autonomous AI Agent
Positive and negative space is a fundamental principle in visual composition, supporting visually coherent forms and layered semantic relationships.Learning from Failure: Leveraging Unreliable Predictions in Semi-Supervised Real-World Adverse Weather Removal
Adverse weather image restoration aims to recover images degraded by rain, haze, snow, and other weather-induced artifacts, thereby improving the robustness of outdoor vision systems.GeoLatent: Geometry-Guided Latent Structuring with Routed Optimization for 3D Reasoning
Despite progress in vision-language models, 3D spatial reasoning from 2D images remains challenging.Surface-volume self-supervised representation learning of brain MRI for genetic discovery
Existing genome-wide association studies (GWAS) of brain imaging provide predefined or deep-learning-derived imaging phenotypes, yet these phenotypes come from either volumetric scans or cortical…Where-OPD: Spatially Guided On-Policy Self-Distillation of MLLMs with Synthetic Scenes
On-policy self-distillation has recently emerged as an effective approach for improving language-model reasoning by supervising students with a frozen or EMA version of themselves that receives…Harnessing Domain Specialists in Multimodal Mixture-of-Experts for Efficient Adaptation
Mixture-of-Experts (MoE) architectures scale model capacity through sparse computation, routing each token through only a small subset of experts.MIRTO: a registration-gated, multiverse-tested evaluation protocol for unsupervised anomaly segmentation in brain MRI
Unsupervised anomaly detection (UAD) methods for brain MRI are ranked by a single score, yet that score rests on choices that are rarely reported: how each anomaly map is aligned with the reference…Omni-Embed-Mini: Binding Modalities Without Forgetting via Dense Distillation
Extending a text embedding model to new modalities typically degrades text retrieval quality, and existing omni-modal embedders compensate with multi-billion parameters.MosaiChunk: Compositing Spatio-Temporal Memory for Autoregressive Video Generation
Long-horizon autoregressive video generation is limited by a finite context window.4Director: Controlling Video World Models with Rigid 3D Geometry
Precise control over camera and object motion is essential for professional video production.World Observer: Joint Actor-Observer Generation for Persistent World Modeling
How can a world model continuously observe regions beyond the actor's current view?Generative Cinematographer: Composing Camera and Object Motion in 3D
Current controllable video generation systems often rely on 2D motion trajectories or sparse drag signals for object motion.OmniSeek: Native Tool Integration for Multi-turn Audio-Visual Reasoning
We present OmniSeek, an agentic framework that transforms an Omni Large Language Model (Omni-LLM) into an active, multi-turn reasoning agent with native tool use.DMAD: Distribution Matching as Adversarial Distillation for Fast Visual Generation
Distribution Matching Distillation (DMD) trains a few-step student from the difference between separately estimated target and student scores, so it must keep an auxiliary diffusion model fitted to…InterEvolve: Test-Time Evolution of Reward Programs for Humanoid Loco-Manipulation
We study test-time evolution for humanoid loco-manipulation: solving tasks that a controller was never trained for by repurposing its existing skills, improving from its own attempts, and retaining…HiPhy: Hierarchical Alignment for Physically-Plausible Multi-Principle Video Generation
Video generation models have achieved remarkable visual fidelity and have strong potential to become general-purpose world simulators.VISTA: A Visual Harness for Reasoning in an Interactive World
We show that multimodal models possess strong reasoning abilities and that an appropriate harness can unlock their potential to solve tasks across diverse interactive environments.