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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 161
PixARG: Pixel-Asynchronous Retrieval-Augmented Diffusion for Fast and Realistic Image Generation
While diffusion models achieve impressive image generation capabilities, they suffer from high computational costs, implausible artifacts, and limited adaptability to dynamic or private data due to…LightVAE: Towards Compact and Efficient Video Autoencoders
Latent diffusion models enable high-quality video generation, but video VAE encoding and decoding remain computationally expensive.Align-VAE: Aligning Attention and Geometry in VecSet VAEs for 3D Reconstruction
Set-based variational autoencoders (VecSet VAEs) represent 3D shapes as compact sets of latent tokens.Japanese Handwriting Generation Based on Human Preference Feedback Using Direct Preference Optimization
We propose a Japanese handwriting generation framework that integrates human preference feedback using Direct Preference Optimization (DPO) to align generative models with human cognitive and…BridgeWAM: Bridging Video and Action Experts via Latent Bridge Queries
World Action Models (WAMs) commonly couple video and action experts through dense, layer-wise Mixture-of-Transformers (MoT) attention, exposing action prediction to irrelevant visual features while…YOUDrive: Driving Style as a Composable Direction for End-to-End Autonomous Driving
End-to-end driving policies can achieve strong task performance while offering limited control over their driving style.[Re] Boosting the Visual Interpretability of CLIP via Adversarial Fine-Tuning
This paper presents a reproducibility study of ``Boosting the Visual Interpretability of CLIP via Adversarial Fine-Tuning'', published at ICLR 2025, which proposes an unsupervised adversarial…Towards Privacy-Preserving Thermal Human Perception from Dataset to Deployment
Indoor human perception is the foundation for smart homes and healthcare.Getting Space Right: Agentic Rewards for Image Generation
Reinforcement learning (RL) is promising for spatial text-to-image generation, but existing work largely focuses on policy optimization, assuming accurate rewards and effective online rollouts.CAST: Real-Time Motion Capture for Any Skeleton Topology
This paper studies the problem of recovering motion from monocular video, even when the target skeleton topology differs from the subject observed in the video.ScalLoc: Continuous Oblique Thermal UAV Geo-Localization with a 2D Satellite Map
Cross-modal Thermal Geo-localization (TG) provides an illumination-robust positioning solution for Unmanned Aerial Vehicles (UAVs) in Global Navigation Satellite System (GNSS)-denied environments.MORE: Learning Motion-Oriented Registers for Driving World Models and Planning
By predicting future states, latent world models provide rich self-supervision for end-to-end driving, but often inherit dense features from pretrained visual encoders as their world-state interface.Scalable Multi-Human Cooperative Manipulation via Commander-Executor Coordination
Multi-human cooperative object manipulation is a highly challenging topic in humanoid control.Engram Neuron Inspired Adaptive Memorization for Lifelong Learning
Lifelong learning enables artificial systems to adapt to changing environments.Text-Guided Medical Image Segmentation via Residual Aggregation and Dense Alignment Representations
Specifying segmentation targets with natural language provides flexible semantic conditioning for medical image segmentation.DSM-Free UAV Visual Localization via Latent-Depth Variable Projection and Structure-Adaptive Coupling
Visual localization enables unmanned aerial vehicles (UAVs) to maintain absolute positioning in GNSS-denied environments.CatPortrait: Taming Video Generative Models for Portrait Animation via In-context Conditioning
Recent video generative models have shown strong capability in synthesizing high-quality and temporally coherent videos.HiPAD: A Unified Gait, Audio-Visual, and Personality Fusion Network for Depression Detection, with a Hierarchical Personality Ablation and the Calibration Limits of Domain-Adapted LLMs
We present HiPAD, a single fusion network submitted to all six sub-tracks of the MPDD-AVG 2026 depression-detection challenge, covering the Elder and Young cohorts and three modality sets (gait…AD-GS: Anatomical Density-guided 3D Gaussian Splatting for Sparse-View Dental CBCT Reconstruction
Sparse-view Cone-Beam Computed Tomography (CBCT) reconstruction is essential for reducing radiation dose and scan effort, but remains underconstrained due to limited projection information.Metric-Driven Reinforcement Learning for Object Hallucination Reduction in LVLM-Based Image Captioning
Large Vision-Language Models (LVLMs) have excelled in joint visual and language understanding, particularly in image captioning.