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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 170
ClothCode: Generative Modeling for Garment State Estimation and Dynamics Prediction
We introduce ClothCode, a unified generative framework for garment state estimation and action-conditioned dynamics prediction in a shared discrete configuration space.Token-Budgeted Candidate Retrieval for 3D Scene-Grounded VLMs: Category Names vs. Pairwise Geometry
Under a fixed context budget, which objects and relations should a 3D scene-grounded VLM see first?Agreement versus Softmax under Spatial Disambiguation
ScanRefer Multiple queries require spatial disambiguation: several instances of the target class are present, and the referencer must pick one.CAPTOR: a vision-language foundation model for Chest-Abdomen-Pelvis Oncologic CT
To develop and evaluate CAPTOR, a deep-learning vision-language foundation model for oncologic chest-abdomen-pelvis (CAP) CT interpretation.Latent World Action Model for GUI Agents
Pixel-space world models have recently emerged as a promising approach for GUI agents, predicting future screens prior to execution and subsequently re-perceiving them for action selection.SliderEdit++: Improved Slider Trajectories in Instruction-Based Image Editing
Slider-based control aims to give users continuous, fine-grained control over the intensity of individual edits in instruction-based image editing.Image Diffusion Models Are Good 3D Human Motion Generators
Text-to-motion generation typically relies on dataset-specific skeletal representations, with models trained separately for benchmarks with different joint layouts.BigCell: Generating Gigapixel Whole-Slide Images
Whole-slide images (WSIs) are gigapixel-scale digital scans of histopathology tissue and serve as the primary basis for cancer diagnosis.Thinking with Images without Coordinates
Recent advances in multi-modal large language models have shifted toward the "thinking with images" paradigm to improve reasoning faithfulness, yet existing methods rely heavily on explicit…RoboFake: Are Deepfake Detectors Ready for Humanoid Face Robots?
Humanoid face robots can now move their lips in sync with speech and show detailed facial expressions.TGSR: Text-Grounded Diffusion for Faithful Image Super-Resolution
Diffusion models have achieved remarkable success in image super-resolution (SR) by leveraging strong generative priors to enhance perceptual quality.GeoFix: Geometry Fixing for 4D Consistent Generation
Video diffusion models increasingly serve as priors for 4D generation, but the generated videos often lack geometric consistency.Controllable Diverse Sampling through Pullback Directions
Conditional diffusion models can generate high-quality images that align closely with a given prompt.ConicFlow: constrained Inference-time optimal control for flow matching models
We propose ConicFlow, which frames constrained sampling from a flow matching model at inference time as an optimal control problem that balances deviation from the pretrained trajectory against…MvFFN: Multi-view Floor plan Feed-forward Network for Unposed Wide-Baseline Panorama Layout Reconstruction
Reconstructing accurate camera poses and floor-plan layouts from sparse, unposed, wide-baseline RGB panoramas remains a challenging open problem.EV-JEPA: Elastic V-JEPA for Any Device and Cross-Device Inference
Foundation models like V-JEPA are increasingly deployed across a heterogeneous edge-cloud continuum spanning smart glasses, phones, robots, and servers.Manifold Navigation Learning Using Recurrent Networks: Efficient Training Techniques
Position tracking is a well-studied problem in Euclidean navigation, yet comparatively little attention has been given to navigation on general manifolds, where motion is governed by the underlying…Real-Time Traffic Density Estimation: A Hybrid Computer Vision and Predictive Machine Learning Pipeline
Traffic density estimation from camera feeds requires connecting visual perception with short-horizon forecasting.TraceSampler: Making Sampling Errors Predictable and Correctable for Accelerated Generative Sampling
Accurate sampling from continuous-time generative models can require many model evaluations.Learning Transferable World-Action Models from Task-Paired Human Videos
World-action models inherit broad visual and physical priors from video pre-training.