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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 104
PoSTCache: From Forecasting to Postdictive Smoothing for Revisable Diffusion Caching
Diffusion and flow matching models achieve impressive visual generation quality but remain computationally expensive due to iterative sampling.SpaRV: Sparse Radiance Voxels for Scalable Geometrically Consistent LiDAR-Visual Mapping and Rendering
Robotic simulation, navigation, and inspection need photorealistic and geometrically accurate maps.Frechet Forcing: Training Long-Horizon Streaming World Models from Short Clips
Streaming video world models generate the future chunk by chunk, conditioned on their own past and a stream of actions.RxGS: Relightable Gaussian Stylization via BRDF Decomposition
Reference-based 3D scene stylization transfers the appearance of a reference image onto a reconstructed 3D scene while preserving scene geometry.BitFlat: Error-Localized Bitstream Design for Robust Diffusion Image Compression
Zero-shot diffusion image compression based on reverse channel coding achieves high perceptual quality at low bitrates without retraining, yet its bitstream remains vulnerable to bit flips.Multi-View Structural Representations for Physically-Consistent TeX Generation
Infrared and visible images provide complementary cues for low-light image generation, and physics-based methods can better exploit this complementarity.LEVI: Benchmarking Visual Identity Fidelity with Verifiable Low-Entropy Constructs
Modern generative models can produce visually plausible images while violating exact identity constraints.Think Densely, Act Sparsely: Latent Expert Cognitive Chains for Vision-Language-Action Autonomous Driving
Autonomous driving fundamentally demands dense understanding of visual, semantic, and geometric information, yet existing Vision-Language-Action (VLA) models are typically trained with sparse…Functional Cross-layer Experts Routing for One-step Diffusion Distillation
One-step distillation compresses diffusion trajectories into a single forward evaluation, yet how internal capacity should be structured within that remaining pass remains largely unexplored.MAPS: A Multi-Agent Personalized Script-Driven Video Advertising System Enhanced by Reinforcement Learning
With the rapid growth of online video consumption, video advertising has become a dominant component of digital advertising.VHA: VQA-based Hallucination Assessment for Generative Image Super-Resolution
Generative image super-resolution produces visually realistic high-resolution images, but may also introduce hallucinations by adding unsupported content or altering existing details.See the Future, Classify the Present: Stochastic Latent World Modeling for Hyperspectral Images
Hyperspectral image classification (HSIC) relies on static spatial-spectral representations learned from labeled samples, limiting its ability to model structured dependencies in the latent…UniJev: Separating Accuracy from Calibration in Trimodal System One Decision Models
System One models produce probabilistic judgments that software can consume directly, making reliable confidence as important as answer accuracy.Do We Need Learned Targets? Classical Gradients as Supervision for 2D Gaussian Initialization
Learning-based Gaussian image initializers can require costly supervision obtained by per-image optimization.Hihaze: One-Step Diffusion for High-Resolution Real-World Image Dehazing
Diffusion models have recently achieved encouraging results in real-world image dehazing.SWIFT: Self-guided Weak-to-strong dIFfusion models via Target extrapolation
Training high-quality diffusion models is computationally expensive, and inference-time guidance often adds further sampling cost.Auditing Semantic and Relational Reliability in Open-Vocabulary Human-Object Interaction Evaluation
Open-vocabulary human-object interaction detectors describe interactions in free text, and this creates a problem for evaluation.ActionRoPE: Action as Coordinates for Spatially Consistent Control in Planar-Camera Game World Models
Game world models have made rapid progress toward real-time interactive generation.Vision-Language-Delta-Action: Learning Compact Deltas as Actionable Transition Interfaces for Robotic Manipulation
Robotic manipulation is not merely observation-to-action generation, but the realization of task-specified state changes in the physical world.Rethinking Sparse-View 3D Gaussian Splatting: A Few-Shot Learning Perspective on Overfitting Prevention
Sparse-view novel view synthesis (NVS) is essential for AR/VR and real-time communication applications, yet remains challenging when reconstructing 3D scenes from limited viewpoints.