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Computer Vision
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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 189
Seeing Through the Glare: A Multi-Source Benchmark and Ocular-Adaptive Pixel MeanFlow for Eyeglass Reflection Removal
Eyeglass reflection removal is important across smartphone imaging, video conferencing, and other face-centric visual applications.LinSlot: Exploiting Linear Representation hypothesis for unsupervised attribute discovery from slot based object representation
This paper studies the problem of learning disentangled representations of objects and their attributes from raw, unstructured image data.MESSENGER: Memory-Enhanced Sequential Scene Flow Estimation via Autoregressive Next-Frame Forecasting
Scene flow can capture low-level 3D motion displacements in dynamic scenarios.DOGS: Design-Space Sampling for Prompt-Driven Logo Generation
Prompt optimization for text-to-image (T2I) generation has been pursued almost entirely as text rewriting, in which a short user brief is expanded into a longer, model-preferred token sequence.VICO: Visual Environments Co-Evolving for Vision-Language Model Reasoning
Reinforcement learning with verifiable rewards (RLVR) has become a standard recipe for post-training vision-language models (VLMs), but it typically assumes a static training environment.NavGPT-3: Harnessing Context in a Hierarchical Navigation Runtime
Language models trained with long-horizon agentic reinforcement learning can generalize knowledge through reasoning, express precise actions, and pursue goals over many steps, raising the ceiling on…Velocity Scaling in Flow Matching
Scaling a learned flow-matching velocity field $v_θ$ by a gain $γ(t)$ was recently shown to greatly improve generation quality.Enabling Preference-driven Unlearning in Few-step Distilled Text-to-Image Diffusion Models
Text-to-image diffusion models are increasingly distilled into few-step variants and being deployed to enable fast inference.SPLIT-RL: Staged Perception-Language Reasoning Training with Claim-Level Advantages
Vision-Language (VL) reasoning requires a model to both extract relevant and accurate information from an image (visual reasoning, VR), and to infer the answer from it (language reasoning, LR).Less from More: Reinforcing Sparse Video Reasoning from Dense References
Video-language models commonly assume that more temporal observations lead to more reliable reasoning.When Listening Becomes Easier: Scrubbing Visual Cues for Shortcut-Free VLAs
Shortcut learning is a prevalent issue in robot learning.GHARP: Real-time Gaussian Head Animation from Large-scale Reconstruction Prior
We present GHARP (Real-time Gaussian Head Animation from Large-scale Reconstruction Prior), a method that animates 3D human heads in real time from a few input images of a subject and a driving…GPU-Accelerated Computation of Persistent Homology for Topological Analysis of Image Data
In recent years, persistent homology has seen rapid adoption in deep learning, yet its computation remains a major bottleneck in network training.LVSPM: Long Sequence View Synthesis and Pose Estimation Model
We present LVSPM, a generalizable model that jointly estimates camera poses and synthesizes novel views from uncalibrated image collections.Fluid-Gen-Zero: Grounding Pretrained Video Generators in Physics without Training
We present Fluid-Gen-Zero, a training-free framework for physics-aware fluid-object interaction video generation that decouples physical reasoning from appearance synthesis.Multi-Bandwidth Distribution Matching Distillation: On the Equivalence of Distribution Matching Distillation and Drifting Models
Researchers are exploring effective one-step generative model continuously, and, Drifting Models (Deng et al., 2026), demonstrate great potential in one-step generation recently.Omni-Diffusion-Distill: Few-Step Distillation of Unified Multimodal Diffusion Large Language Models
Unified multimodal diffusion large language models (dLLMs) offer a single architecture for both image generation and multimodal understanding, but their iterative decoding requires tens to hundreds…Region-Aware CLS Token Augmentation for Fine-Grained Image Retrieval
Image retrieval methods often rely on a single global semantic descriptor extracted from an image, e.g., the [CLS] token in vision transformers.PCAsplat: Gaussian Splatting with Local PCA Regularization
Gaussian splatting has emerged as a flexible representation for 3D reconstruction from posed images.CORAL-KV: Compact Cross-Layer Prediction and Residual Coding for Autoregressive Video KV Caches
Autoregressive video diffusion models maintain a growing attention key-value (KV) cache, making memory a key bottleneck for long video generation.