710 papers recorded in this category. Newest first.
- Visibility-Aware Reference Generation for Benchmarking Visual 3D Reconstruction in Vegetation-Rich Environments
Reliable evaluation of visual 3D reconstruction and depth estimation in vegetation-rich outdoor environments is limited by the scarcity of geometric ground-truth data and the cost …
2026-11-03
- GSCV++: Lightweight 3D Gaussian Splatting Sequence Compression via Standard Video Codecs
This paper presents GSCV++, a lightweight pipeline for 3D {G}aussian {S}platting (GS) sequences {C}ompression with standard {V}ideo codecs. To meet the requirements of low-complexi…
2026-11-03
- OpenBrain: An Auditable Generated-Label Release for Whole-Brain MRI Parcellation
Automatic tools can now generate whole-brain MRI parcellations at cohort scale, but generated-label releases often provide little evidence about which cases are reliable enough to …
2026-11-03
- Wonder 4: A Mixture-of-Experts Recipe for Image Quality Enhancement
A real photograph is often blurry, grainy, compressed, scratched, and low-resolution at the same time. Each defect has its own severity and its own place in the image. The correcti…
2026-11-03
- Low-Density 3D Point Cloud Classification
3D point cloud classification, a task in computer vision, has recently gained substantial interest due to its extensive applications across various domains such as augmented and vi…
2026-11-03
- Anchored Rank-Adversarial Fine-Tuning Pretrained Visual Place Recognition Models
Visual place recognition (VPR) localises a camera by retrieving similar geo-tagged images, and current foundation-model VPR models are accurate across cities, seasons and illuminat…
2026-11-03
- YANAMI: A Large-Scale Multimodal Dataset and Benchmark for Multiturn Stateful Interaction
Unified Multimodal Models (UMMs) integrate visual understanding, generation, and editing within a single unified framework. However, existing unified multimodal datasets and benchm…
2026-11-03
- Möbius: A Unified Motion-Language Model Bridging Understanding and Generation
We aim to build a truly unified motion model that can understand, generate, and edit human motion within a single framework. Existing motion UMMs remain only partially unified: mot…
2026-11-03
- Route Anything: A Study of Model and Policy Routing for General-Purpose AI Systems
Artificial general intelligence (AGI) requires a method that can understand, generate, reason, and act across diverse domains and modalities. Rather than relying on a single model …
2026-11-03
- Diagnosis by Composition: Detecting and Localizing Unseen Diseases by Composing Learned Radiological Findings
Deep models for radiological diagnosis are typically trained to predict disease labels directly from images, which limits them to diseases seen during training and makes their deci…
2026-11-03
- PLANTEUR: A Crop-Type Segmentation Benchmark for Tropical Regions
We introduce PLANTEUR, a benchmark for crop-type mapping from satellite images in the French overseas territories. Building on the PASTIS design, PLANTEUR provides georeferenced an…
2026-11-03
- Diffusion Plug-in Priors for Self-Supervised Ultrasound Video Restoration
\textit{Objective:} Ultrasound videos are limited by hardware-constrained spatial resolution and signal-dependent speckle, while paired low- and high-resolution acquisitions for su…
2026-11-03
- TAQ-MOTR: Tracking-Aware Detection Query Formation for End-to-End Multiple Object Tracking
Tracking-by-propagation (TBP) methods perform end-to-end multi-object tracking by propagating track queries across frames, jointly handling detection and identity association witho…
2026-11-03
- Robust Reconstruction of Power Lines from Incomplete Mobile and Aerial LiDAR Data
Accurate vegetation-encroachment assessment and risk mitigation require electric utilities to accurately locate and characterize distribution-network assets, including poles and po…
2026-11-03
- Factorized MLLM Embeddings for Composed Image Retrieval
Composed Image Retrieval (CIR) aims to retrieve a target image given a reference image and a modification text. Although recent approaches leveraging Multimodal Large Language Mode…
2026-11-03
- From Natural Images to Medical Scans: Transferability of Diffusion Models for Medical Image Generation
Transfer learning from natural images is standard in supervised and increasingly adopted in self-supervised medical image analysis, but its role in generative modelling, and in par…
2026-11-03
- PadLoc: Training-Free Floor-Plan Localization by Sparse Geometric Matching
We propose PadLoc, a training-free localization back-end that places a moving sensor within a known floor plan. Floor plans are cheap, persistent, and robust to appearance change, …
2026-11-03
- Perturb, Repair, Verify: Self-Play Vision-Language Verifiers for Compositional Understanding
Vision-language verifiers judge whether an image faithfully matches a textual description, yet existing training pipelines typically rely on static supervision from stronger extern…
2026-11-03
- EgoActionBench: Benchmarking Dense Action Captioning for Egocentric Human Videos
Learning from human data offers a scalable path toward embodied intelligence, yet it requires models to accurately understand fine-grained human actions from egocentric observation…
2026-11-02
- Isekai3D SDG: A Platform for Diverse Synthetic Gameplay Visual Data
We present Isekai3D Synthetic Data Generation (SDG), a platform for simulating and capturing synthetic 3D gameplay for research in vision and world models, neural graphics, gamepla…
2026-11-02
- Reviso: Not All Visual Evidence Deserves Equal Attention in Video Captioning
Multimodal large language models (MLLMs) can generate detailed video captions, yet they may overemphasize minor details while overlooking essential context and key events. We argue…
2026-11-02
- 3D-BBDA: Backpropagation-Free Black-Box Domain Adaptation for Robust 3D Point Cloud Recognition
Robust 3D point-cloud recognition is critical for robotics, mapping, and urban sensing, yet point-cloud classifiers often suffer performance drops under domain shifts caused by sen…
2026-11-02
- CoLa3D: Composable Latent 3D Decomposition
We introduce CoLa3D, a simple and effective model for composable 3D scene decomposition that, given a single whole-scene latent from either a single image or an existing scene mesh…
2026-11-02
- HIVE-Diff: High Frame Rate HDR Video Reconstruction from a Single LDR Frame and Events
High frame rate HDR video is important in applications such as autonomous driving and scientific imaging, where rapid motion and extreme illumination often occur simultaneously. Co…
2026-11-02
- Bg-Mix: On Using Image Backgrounds for Data Augmentation in Electron Microscopy Images
Electron microscopy (EM) serves as a cornerstone in virology enabling the visualization of viral particles and is widely used in research, diagnostics and morphological characteriz…
2026-11-02
- Intent2CAD: How Semantic-Parametric Supervision Shapes Text-to-CAD Generation
Text-to-CAD generation aims to make CAD modeling more accessible by generating executable CAD programs from natural-language descriptions. However, practical CAD workflows require …
2026-11-02
- Align Once to Explain: Feature Alignment for Scalable B-cosification of Foundational Vision Transformers
Foundational vision models have become the de facto standard for many vision tasks due to their strong performance. However, they are notoriously opaque and remain hard to interpre…
2026-11-02
- Evaluating Depth-Augmented Visual Features for Cross-Dataset Lunar Traversability Estimation
Autonomous mobility is essential for sustained lunar surface operations, as communication delays and line-of-sight occlusions limit continuous teleoperation. Although recent traver…
2026-11-02
- Circumventing Magnitude Collapse via Modular Two-Stage Open-Set Recognition
Open-set recognition (OSR) requires neural networks to classify known classes while rejecting unknown samples, which is critical for real-world deployment. So far, OSR research stu…
2026-11-02
- VidDub: Replacement-Aware Distillation for Two-Step Video Dubbing
Video dubbing aims to synthesize lip movements that match target speech while preserving the speaker identity, head pose, and background of a source video. Existing editors are pre…
2026-11-02
- Image Guided Depth Upsampling using Anisotropic Total Generalized Variation
In this work we present a novel method for the challenging problem of depth image upsampling. Modern depth cameras such as Kinect or Time of Flight cameras deliver dense, high qual…
2026-11-02
- TaoMate-HD: Progressive-Resolution Autoregressive Audio-Video Generation
Streaming digital humans produce detailed video while continuing speech as new text arrives. High-resolution denoising is costly, and text updates can cause repeated or interrupted…
2026-11-02
- TaoMate-FVSR:Audio-Guided Facial Video Restoration
AI-generated videos often depict people within detailed scenes while leaving their small facial regions poorly resolved. Visual super-resolution can sharpen these regions without r…
2026-11-02
- GazeRIB: Systematic Evaluation of Multi-Reader Gaze-Guided Chest X-ray Learning
Radiologists' visual attention can supervise medical image learning, but how reader panel composition affects its value remains untested. We evaluated GazeRIB (Gaze-guided Radiolog…
2026-10-30
- SemEllipsoid: Semantic-aware Shape Abstraction with Ellipsoid
Representing 3D shapes using a set of primitives - known as shape abstraction - is an actively studied problem in computer graphics with wide applications in shape understanding, a…
2026-10-30
- ReLift: Dense 3D Tracking as Lifted Trajectory Repair
Dense 3D tracking from monocular video requires establishing point correspondences over time, estimating their depth, and inferring their trajectories during occlusion. Existing me…
2026-10-30
- Rethinking Asymmetry in Self-Supervised 3D Geometry Learning
Self-supervised learning relies on asymmetry between what a model observes and what it must explain. Recent methods learn 3D geometry from unposed images by predicting cameras and …
2026-10-30
- Think in 360°: Benchmarking and Bootstrapping Panoramic Video Reasoning
A panoramic video captures all directions around the camera, but relevant evidence can appear in different directions and at different times. Understanding it requires models to co…
2026-10-30
- REA: A Routed Embodied Agent Runtime for Asynchronous Brain-Cerebellum Control
Foundation models are becoming remarkably reliable at high-level reasoning, yet they remain too slow and costly to serve as fine-grained controllers. Conversely, fast policies like…
2026-10-30
- Any Forcing: Any-Step Generality and One-Step Stability for Autoregressive Video Generation
Autoregressive video generation enables efficient inference through streaming prediction. However, existing methods are typically restricted to fixed sampling steps, limiting the f…
2026-10-30
- GeoFlip: Benchmarking Geometry-Sensitive Physics in Video Generation
Video generation models synthesize realistic motion, but can they respond correctly to changes in initial geometry? We introduce GeoFlip, a video generation benchmark centered on p…
2026-10-30
- MoETok: Sparse Expert Routing for 1D Visual Tokenizers
Modern visual tokenizers aim to preserve fine-grained visual details while learning high-level semantic representations for downstream generation and understanding. Query-based 1D …
2026-10-30
- FoAViS: Analyzing Learned Fixation Strategies in a Foveated Active Vision System
Human vision is foveated and active: resolution is highest at the fovea and falls off towards the periphery, and fixations are actively directed to locations of interest. Building …
2026-10-30
- TwinPast: Benchmarking Historical Evidence Use in Streaming Video Understanding with Evidence Contrastive Video Pairs
High accuracy on streaming video benchmarks does not establish whether a model uses visual history. Our review of OVO-Bench and StreamingBench finds that recent frames suffice for …
2026-10-30
- IGDA-ICMH: an Importance Guided Feature and Network Dual Adaptation Framework towards Image Compression for Machine and Human Vision
With the surge of machine vision applications, image compression for both machine and human vision (ICMH) has become an important research area. Existing studies mainly focus on ta…
2026-10-30
- Movens-Zero: Scaling Humanoid Motion Foundation Models with Large-Scale Human Videos
Scaling humanoid motion foundation models is constrained by the scarcity of diverse, robot-executable data and by the difficulty of jointly learning from heterogeneous multimodal i…
2026-10-30
- Open-Weight MLLMs Cannot Compare What They Cannot Name
Multimodal Large Language Models (MLLMs) are increasingly capable of understanding images and performing complex visual reasoning, suggesting the possibility of using them to autom…
2026-10-30
- ReuScope: Auditing Data Reuse and Evaluation Sensitivity in Capsule Vision 2024
We develop ReuScope, a protocol for auditing data reuse and evaluation sensitivity, using Capsule Vision 2024 as a case study. It combines measurements of data relationships with t…
2026-10-30
- ObjectGuidedMap: An Object-Aware Model for Robust Bird's Eye View Map Prediction in High-Occlusion Scenarios
Accurate BEV map prediction is a critical component of autonomous driving systems, enabling downstream planning and control. Recent approaches such as Mask2Map achieve strong perfo…
2026-10-30
- Micro-Edits: Computational Support for Fine-Scale Edits in Film
In film editing, every frame matters. While macro, content-level edits shape the high-level narrative of a film, small local edits often control timing and direct visual attention.…
2026-10-29
- SonoWorld4D: From One Video to a 4D Audio-Visual Scene via Diffusion Synchronization
Recent progress in visual scene generation has extended beyond static 3D scenes toward the more challenging problem of generating dynamic 4D scenes from minimal input. However, sou…
2026-10-29
- SymAnt: Grounding Long-Horizon Action Anticipation with Adaptable Symbolic Priors
As robots and intelligent systems increasingly interact with humans, they must anticipate long sequences of future actions from only brief observations. While purely neural models …
2026-10-29
- L3G-World: Real-Time Infinite World Generation with Latent 3D Gaussian Memory
Interactive world models generate visual content conditioned on user actions, yet maintaining spatial consistency over long-horizon exploration in real time remains challenging. Ex…
2026-10-29
- Fight World Model: Customizable Combat through Visual Interaction Proxies
A playable, programmable game world must maintain persistent state, enforce executable rules, and support extensible gameplay mechanics. Existing video world models can generate pl…
2026-10-29
- HairDeck: Animation-Ready Stylized Hair Cards from a Single Image
The hair of stylized characters in games and avatars is built from hair cards: artist-placed ribbons whose geometry is the visible hair, animated by spring bones. Existing image-ba…
2026-10-29
- Beyond Ground Truth: A Heuristic Unsupervised Quality Assurance Engine for Diagnosing Calibrational Blindness in Dental Segmentation
In real-world clinical settings, dental X-ray segmentation using deep learning methods suffers from reliability issues. Even when the segmentation quality is bad, deep learning mod…
2026-10-29
- RADIOlogy: A Single-Pass Approach to Training-Free Zero-Shot Anomaly Detection
Current zero-shot anomaly detection methods often rely on complex prompt-learning techniques or computationally expensive sliding-window strategies to achieve fine-grained visual a…
2026-10-29
- PhysCount: Do MLLMs Count Visual Appearances or Physical Entities?
Images reveal appearances, but counting often asks about physical objects. A single entity may be visible directly, in several reflections, or through glass, so detecting every vis…
2026-10-29
- CrossWeave: Cross-Modal Scene and Instance Retrieval from Sparse 2D-3D Alignment
Cross-modal scene and instance retrieval aims to retrieve a corresponding 3D environment or object given query 2D images, serving as a foundational mechanism for spatial reasoning …
2026-10-29
- LucidLyra: Feed-Forward Generative 3D Scene Reconstruction and Joint Understanding via Multi-Task Distillation
We present LucidLyra, a framework that makes generatively reconstructed 3D scenes directly queryable for semantics and instances in a feed-forward manner from video latents. While …
2026-10-29
- MetaRefine: Score Refinement with Multi-Level Features for Image Assessment
An image's original dimensions, aspect ratio, and composition provide important cues that can affect its technical and aesthetic quality. Image assessment methods use resizing, cro…
2026-10-29
- AVPS-360: A Spatial Audio-Visual Benchmark for Instance Segmentation and Tracking of Sound-Producing Persons
Audio-visual instance segmentation (AVIS) segments and tracks individual sound-producing objects in videos. Existing benchmarks predominantly use monaural audio, which lacks inter-…
2026-10-29
- Accurate MRI-free PET Quantification and Reliability Assessment via CT-to-MRI Synthesis and Conformal Prediction
Standardized uptake value ratio (SUVR) quantification of amyloid PET commonly relies on a subject-specific T1-weighted MRI, yet a usable MRI is not always available. We therefore c…
2026-10-29
- Segment Anything Model Based Context Guided Mamba Unet for Medical Image Segmentation
Medical image segmentation is crucial for clinical diagnosis and treatment planning, requiring both global contextual understanding and fine-grained structural precision. While the…
2026-10-29
- DINOv2 for PET: A Pre-Training Domain Benchmark Across Classification, Segmentation, and Prognosis
DINO (self-DIstillation with NO labels) has become a stan- dard for self-supervised pre-training, producing features that generalise across datasets and downstream tasks. In medica…
2026-10-29
- Greenscapes: Optimized Vegetation Configurations in Cities
Vegetation plays a central role in cities, serving functional roles such as balancing shade and sky exposure, shaping the microclimate, carbon sequestration, and providing acoustic…
2026-10-29
- Blind Video Denoising for Vocal Tract rtMRI using a Self-Supervised Ensemble
Real-time magnetic resonance imaging of the vocal tract makes speech articulation directly observable, but the trade-off between temporal resolution and signal quality introduces s…
2026-10-29
- Mind The Gap (MTG-AD): Dataset and Fine-grained Evaluation for End-to-End Inline Audio Descriptions
Audio descriptions (AD) are essential for making visual media accessible to blind and low-vision (BLV) users. While Multimodal Large Language Models (MLLMs) offer a scalable soluti…
2026-10-29
- UniRA: Unified Representation Alignment and Auto-Encoding for Efficient Diffusion Generation
Diffusion transformers (DiTs) have become the dominant architecture for high-fidelity image synthesis, yet they suffer from slow training convergence and high computational cost. T…
2026-10-29
- ElasticFormer: Detecting Objects in HRW Shots via Elastic Computing Vision Transformer
Recent advances in gigapixel-level imaging have brought High-Resolution Wide shots to the forefront of research. However, these images present significant challenges: extreme spars…
2026-10-29
- BiHashFormer: Hash-Driven Dual-Branch Transformer for Efficient Object Detection in HRW Shots
Recent advances in gigapixel-level imaging have brought High-Resolution Wide shots to the forefront of research. However, these images present significant challenges: extreme spars…
2026-10-29
- MLLM-GS: Multimodal Large Language Model Prior-Guided Fast Novel View Synthesis in Extreme Environments
Novel view synthesis (NVS) in degraded scenes aims to reconstruct 3D scenes from multi-view observations affected by various degradations, and to generate clear and photorealistic …
2026-10-29
- Spectral Invariant Fusion and Refinement for Domain Generalized Semantic Segmentation
Domain generalized semantic segmentation is challenging because it requires accurate dense prediction on unseen domains without any access to target-domain data during training. Ex…
2026-10-29
- PhysAg3D: Bridging 3D Generative and Agentic Models for High-Fidelity and Physically-Interactive Assets
Generating interactive 3D assets from a single image requires realistic appearance, fidelity to the depicted object, and plausible physical behavior. Yet detailed geometry alone do…
2026-10-29
- TokenRepel: Generating Diverse Image Sets Without Compromising Quality
We present an inference-time approach that enhances the visual diversity of image sets generated by text-to-image models, without compromising the average image quality. Our method…
2026-10-29
- What Survives Label Downsampling? Exact Region Survival for Coarse Segmentation Targets
Segmentation networks that predict at an output stride are trained against label maps downsampled by strided sampling, nearest-neighbor resampling or majority pooling. These method…
2026-10-29
- Parametric Gaussian Noise Mixer (PGNM): Unified Synthesis of Camera Noise and Film Grain
Noise synthesis is commonly approached through physical models of image formation or neural networks trained to generate noisy images. We explore a middle ground: an explicit stati…
2026-10-29
- M-PFT: Angular Margin for Calibrated Prompt-Tuning of Fine-Tuned Vision-Language Models
Prompt-tuning has emerged as a parameter-efficient technique for adapting large-scale vision-language models (VLMs) to downstream tasks while keeping the pre-trained weights frozen…
2026-10-29
- Open-set multi-view seahorse re-identification from underwater photograph sequences
Automated animal re-identification from photograph sequences can facilitate minimally invasive Capture-Mark-Recapture studies at scale. Yet, photographs taken during an observation…
2026-10-29
- LiDAR-SHIELD: A Fully Dockerized Adversarial Robustness Assessment Framework for LiDAR-Based 3D Perception Models
LiDAR-based 3D perception underpins autonomous driving and robotics, yet deploying these models safely requires stress-testing them against adversarial inputs before real-world use…
2026-10-29