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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 119
Semantic-Critical Regions for Video-to-Audio Generation
In real-world videos, sound events are often associated with localized and fine-grained visual cues, such as object motion, object-part dynamics, contact events, and interactions between objects.Frame-Consistent Feed-Forward 3D Gaussian Splatting from Sparse Unposed Images
Feed-forward Gaussian models have made novel view synthesis almost instantaneous.SpikeQ: Spike-Guided Post-Training Quantization for Spiking Neural Networks
On neuromorphic chips, spiking neural networks (SNNs) consume far less energy than artificial neural networks (ANNs), but the limited memory of these chips requires low-bit synaptic weights and…TriFold: Folding irregular 3D Gaussians into structured latents for 3D Scene Generation
Recent progress in 3D generation has motivated growing interest in compact generative representations of complex 3D scenes.Domain-specific language alignment of multimodal embeddings towards explainable predictions
Multimodal data are commonly fused into latent representations that improve downstream task performance but are not interpretable, limiting their application in domains that require explainable…Scene-Designer: Learning Design Intelligence for Agentic 3D Scene Generation
Generating complete, coherent, and usable 3D indoor scenes from natural language requires strong \textbf{design intelligence}: the ability to design high-quality scenes and critique their quality.Reliability-Consistent Appearance Modeling for RGB-Infrared Multi-Object Tracking
Recent RGB-infrared multi-object tracking (MOT) methods have substantially improved cross-modal representation learning and multimodal information integration.From GAN-Based Models to GPT-5: A Taxonomy-Guided Study of Human Performance in Detecting Deepfake Face Images
Generative models for deepfakes have rapidly evolved from GAN-based architectures to diffusion models and multimodal large language models (MLLMs).Knowledge-Guided Distributional Prompt Learning with Visual Hierarchy for Zero-Shot Anomaly Detection
Zero-shot anomaly detection (ZSAD) aims to detect anomalies in previously unseen classes using auxiliary images, with applications such as industrial visual inspection and medical imaging.MLLM Frame Subset Ensembling for Audio-Visual Video QA and MLLM-based Reranking for Ad-hoc Video Search in TRECVID 2025
This paper presents the overview of the runs related to the Ad-hoc Video Search (AVS) and Video Question Answering (VQA) tracks of TRECVID 2025 on behalf of the CERTH-ITI team.RAP: A Dataset for Paper-to-Poster Generation via Declarative Markup from Human-Crafted Exemplars
Making a conference poster is visual coding in miniature: an entire paper must be compressed onto a single page, which exercises summarization, visual design, and code implementation at once, using…X-Splat: Unified Gaussian Splatting for Joint RGB and X-ray 3D Reconstruction
Jointly reconstructing RGB and X-ray provides new insights by connecting external appearance with internal structure, enabling a more complete understanding of real-world objects than single modality.Kingfisher: Fast Personalized Visual Autoregressive Generation via Scale-Aware Prompt-Conditioned Scale Decomposition
Personalized image generation has been extensively studied in diffusion models, often relying on subject-specific optimization of model weights, textual embeddings, LoRA modules, or adapters.Can the Parts Fool the Test? Counterfactual Pairing Cycles for Relational OOD
Relational out-of-distribution errors are easy to describe and hard to evaluate cleanly.LonGaussian: Tracking Foundation Priors for Long-Context Feedforward Gaussian Reconstruction
Reconstructing high-quality, renderable 3D scenes from long videos is essential for robotic perception and embodied intelligence.Expand-and-Prune: Test-Time Candidate-Space Adaptation for End-to-End Autonomous Driving
Candidate-based end-to-end driving planners reason over a finite set of trajectory hypotheses.SCALE: Improving Guidance-Free Visual Generation via Self-Contrastive Alignment for Likelihood Estimation
Classifier-free guidance (CFG) is essential for improving sample quality in visual generation, but it incurs substantial sampling overhead.Agentic Image Generation in the Wild
Agentic image generation pairs an image generator with a search agent that retrieves references from the web, extending generation beyond the generator's training data.Xiaomi-Lens-0 Technical Report
Multimodal large language models (MLLMs) answer questions about whole images well, yet they still struggle with fine-grained region understanding.I2V-DETACH: Source Grounding Detachment for Unauthorized Image-to-Video Generation
Recent diffusion models have advanced image-conditioned video generation, but their accessibility raises risks of unauthorized manipulation.