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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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Householder Motion Embedding: Noise Modulation for Motion-Controllable Video Generation
Diffusion models for video generation have achieved remarkable success, yet precise motion control under explicit user guidance remains challenging.ArtiVidRM: Verifiable Artifact-as-Rubric Reward Modeling for Explicit Quality Articulation in Video Generation
Reinforcement learning has become an effective approach for improving video generation, but its success depends heavily on reliable reward models.Where Do Reported Long-Video QA Gains Come From? A Controlled Audit of Frame Selection, Evidence Injection, and Expert Routing
Long-video question answering is usually studied as frame selection: which few frames should a vision-language model see?MIKU: Material Invariance and Knowledge Unification for PBR Generation
High-quality material generation for physically based rendering (PBR) remains challenging because datasets and synthesis pipelines lack standardized representations.FFMT: Frequency-Factorized Multi-Rate Tokenization for Music-to-Dance Generation
Dance motion combines slowly varying body configurations with rapid local movements.WeLM-Image: A Unified Image Generation Model towards Visual Intelligence
We present \textbf{WeLM-Image}, a unified image foundation model that integrates multimodal understanding into text-to-image generation, instruction-guided editing, and multi-reference synthesis.Vis2State: Visual Reasoning through Executable State Abstractions
Solving visual puzzles requires both accurate interpretation of visual evidence and reliable computation under task-specific rules.FreePath: Neural Mean Free Path for Image Dehazing
Single image dehazing requires recovering scene radiance from visual responses that are weakened and veiled by participating media.PSGAgent: Enhancing MLLMs' Dynamic Visual Perception for Panoptic Scene Graph Generation via Agentic Reasoning
Panoptic Scene Graph generation (PSG) requires holistic yet fine-grained reasoning over complex relations among objects.Kinematic Hypothesis Context: Embodiment-Conditioned Learned Video Coding for Bandwidth-Limited Robot Policy Uplinks
Robots increasingly run large vision-language-action policies on remote servers, making the camera uplink the bottleneck.MessyNav: Zero-Shot Navigation via Manipulation in Messy Environments
Real-world environments are messy, with paths often blocked by everyday objects like chairs and toys, requiring robots to perform interactive navigation by manipulating obstacles to clear a path.TRiST: Topology-Reinforced Swin Transformer for Medical Image Analysis
Medical images contain topological patterns, such as connected components and loops, at scales ranging from small lesions to organ boundaries.IMUDINO: Self-distilled Foundation Model for Inertial Sensing
We present IMUDINO, the first foundation model (FM) for inertial sensing to achieve competitive performance across diverse sensing tasks including human activity recognition (HAR), health, motion…VIPA: View-Invariant Projector-Based Adversarial Attack
Projector-based adversarial attack aims to physically manipulate real-world scenes by projecting adversarial patterns, thereby causing deep image classifiers to produce incorrect predictions.FREE-LIVO: Physically Decoupled Yet Tightly Coupled LiDAR-Inertial-Visual Odometry
LiDAR-Inertial-Visual Odometry (LIVO) integrates complementary LiDAR, camera, and IMU measurements to achieve robust state estimation.Compact Motion Embeddings for Feed-forward Unified Human Animation
Animating a reference image with a driver's motion requires a motion representation that captures face, hand, and body articulation but excludes the driver's appearance.Degree-Equalized View-Graph Selection under Tight Pair Budgets
Fully matching all image pairs in Structure-from-Motion is quadratic in the number of images, so practical pipelines pass a budgeted subset to the final matching and reconstruction backend.Coverage Hides Churn: Auditing and Preserving Conformal Decisions as VLM Label Registries Grow
Vision-language classifiers can learn new labels from text alone, so the label lists they serve keep growing.RLGPA: A Reinforcement Learning-Guided Granularity Planning Attack for Decision-Based Sparse Adversarial Examples
Decision-based sparse attacks must reduce perturbation support using only the victim's predicted label.Concertina: Embodying Manipulation and Cognition in One Diffusion Vision-Language Model
Most vision-language-action (VLA) policies decouple manipulation from cognition by bolting an external action mechanism onto a vision-language model (VLM)--either quantizing actions into discrete…