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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: 4,999 arXiv preprints and 1 OpenAlex record.
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Newest papers, page 66
Unveil the Mask: Jointly-Optimized Diffusion Masked Pretraining for Appearance-Agnostic Operator Verification
Photorealistic avatar videos decouple the appearance of a rendered face from the person who operates it, which makes conventional face recognition unsuitable for identifying the operator.Omni-InteractScope: Benchmarking Proactive and Agentic Interaction in Continuous Omnimodal Streams
Omnimodal large language models (Omni-LLMs) are increasingly expected to assist users while observing continuous audiovisual streams.Model-Aware Generation of Safety-Critical Scenes for Robust End-to-End Driving via Distilled Planner Surrogates
End-to-end driving models perform well on standard benchmarks but collide frequently in safety-critical scenarios.OBB-PBD: Extending Parallel Box Decoding to Oriented Bounding Boxes for Referring Expression Grounding in Aerial Imagery
Referring expression grounding in overhead imagery requires oriented bounding boxes rather than horizontal ones, since aerial objects appear at arbitrary orientations.Beyond Words Alone: Disentangling Distributed Evidence for Visually Grounded Cultural Translation
Social media enables cross-lingual communication, yet the meaning of user-generated content (UGC) is often distributed across text, images, and cultural knowledge, making translation challenging.TP-JSCC: Efficient Token Pruning and Joint Source-Channel Coding for LVLMs-based 3D-VQA in Cloud-Edge Collaboration
Deploying large vision-language models (LVLMs) on resource-constrained embodied agents for 3D visual question answering necessitates cloud-edge collaboration.S$^2$-RL: Sample-Set Dual Reinforcement Learning for Generative Semantic Segmentation Dataset Distillation
While dataset distillation has witnessed significant advances in image classification, its extension to dense prediction tasks such as semantic segmentation is plagued by two core bottlenecks…Learning Scene Coordinate Reconstruction from Unposed Images via Pose Graph Optimization
Learning-based structure-from-motion methods such as ACE-Zero have demonstrated strong performance in estimating cameraposes and scene coordinates from unordered image collections without requiring…HiFiPix: Bringing High-Fidelity Real-World Super-Resolution Back to Pixel Space
Diffusion-based real-world image super-resolution suffers from limited reconstruction fidelity due to information loss in VAE-based latent representations.Learning High-Quality Pseudo-Labels for Point-Supervised Temporal Action Localization
Point-supervised temporal action localization (PTAL) aims to recognize and localize action instances in untrimmed videos using only point-level annotations.Generative Structure from Motion with Native 3D Diffusion
Recovering an object's 3D structure and camera motion from a few uncalibrated views is a fundamental problem in computer vision.WorldPager: Zero-Stall Tiered Memory for Long-Horizon World Models on a Single Consumer GPU
Interactive world models keep the KV of past chunks as retrieval memory so that revisited places stay consistent.EARS: Evidence-Aware Retrieval via Sound and Motion for Budgeted Video Reasoning
Uniform frame sampling can miss brief evidence in sparse-event videos when the VLM sees only K frames.Metric Scale for Insta360 Structure-from-Motion from the Camera's Embedded IMU
Structure-from-motion (SfM) from the dual-fisheye video of a consumer 360-degree camera recovers geometry only up to a similarity transform; in the pipeline considered here, metric scale is obtained…Copying As Defense: Protecting Images from Editing By Eliciting Model Copying
Image editors built on diffusion transformers (DiTs), such as Flux Kontext, make it possible to turn a single photograph into a convincing manipulated image, including harmful and non-consensual…Hyperspectral Unmixing using a Structured Linear Mixing Model with Additive Spectral Variability
Linear hyperspectral unmixing aims at retrieving pure material spectra present in an observed scene and their associated abundance fractions in each pixel.Beyond Distribution Matching: Self-Supervised Representation Forcing for Few-Step Video Generation
Few-step distillation is essential for deploying modern video diffusion models.RoboDoctor: Training-Free Recursive Self-Improvement for Robot Policies
Generalist robot policies and language-model agents provide complementary capabilities, but completing a task also requires adapting their use to the consequences of physical interaction.Synthetic Deformable Tubular Benchmark: A mechanically annotated dataset for evaluating deformable 3D reconstruction
Evaluating deformable 3D reconstruction requires ground truth linking camera motion, surface deformation, material correspondence and image appearance.SeeRF: Learning to See Beyond Fields of View via Generative Image Registration and Fusion
Due to the inherent discrepancies in imaging viewpoints and field-of-view mismatches among multi-modal sensors, existing fusion methods have long struggled to achieve complete scene-level…