AI & Machine Learning · Computer Science & AI
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: 4,996 arXiv preprints and 4 OpenAlex records.
Get the few papers worth your time in Computer Vision every morning.
Follow Computer Vision and ReadSearch reads its new papers each day, then brings you the few worth reading, each with its key finding in a sentence.
Newest papers, page 216
UniDynamics: Event-RGB Fusion for Unified Future 4D Dynamic Scene Generation
We propose UniDynamics, a diffusion-based framework for future 4D dynamic scenes (RGB, depth, and optical flow) generation from a single event-RGB pair, without requiring long histories or control…Fed-ADApt: Federated Anytime Depth Adaptation for Resource-Aware Medical Image Segmentation
Federated learning (FL) enables collaborative training of medical image segmentation models without sharing raw patient data, yet existing approaches assume a homogeneous compute budget across…Weave Forcing: Compositional Memory Routing for Interactive Long Video Generation
Recent advances in autoregressive video generation have improved temporal consistency over extended durations, yet interactive storytelling requires more than continuous scene extension: a new shot…ProgressNet: Sketching and Prompting with a Frozen Text-to-Image Model
Humans draw progressively: a few strokes, a look at the result, a stroke erased, a prompt revised.XGenAct: Geometry-Enhanced World Action Models through Cross-Task Generation
World action models (WAMs) have advanced robot control by predicting how observations and actions evolve over time.Feedforward Novel View Synthesis for Heterogeneous Cameras
Feed-forward novel view synthesis has recently shown promising results from sparse posed images, but most existing methods assume that context and target views share a fixed camera family.DuoMatching: Joint-Marginal Distribution Matching for Few-Step Video Generation
Streaming video generation has benefited from distribution matching distillation (DMD), which matches the joint distribution of video frames to a video teacher's approximation of the real video…Rethinking What to Cache in Few-Step Diffusion Transformers: Solver-Aware Target Selection
Diffusion Transformers (DiTs) can generate high-quality images and videos, but generating each sample requires multiple costly DiT forward passes.ManifoldSplat: Language-Guided Semantic Shape Editing of 3D Gaussian Head Avatars
High-fidelity 3D head avatars have reached near-photorealistic quality.DEPICT: Scoring Text-to-Image Alignment by Answer Agreement
Image-text alignment is a core problem in computer vision with applications in caption evaluation, hallucination detection, data curation, and the benchmarking of text-to-image (T2I) generators.Low-Cost Video--Time Priors as a Strong Baseline for EEG--fNIRS Emotion Regression on Familiar Videos
Continuous emotion regression estimates moment-to-moment valence and arousal while a viewer watches a video.World Embedding Benchmark
Physical fidelity has received increasing attention in world models and video generation, yet how video representations encode physical information remains less understood.LoGo: Local-Global Rewards for Consistent Long-Horizon Video Generation
Camera-controlled video models are rapidly advancing toward long generation horizons and complex camera control.On-Board Anomaly Detection for Efficient Marine Environmental Monitoring
Marine ecosystems are impacted by various threats such as oil spills, algal blooms, and sediment floods, which disrupt habitats, wildlife, and human activities.ProAR: Learning Prospective Reasoning with Autoregressive Video Models
Autoregressive (AR) video models excel at causal generation, but their reliance on next-chunk prediction confines them to a short-sighted, reactive paradigm.SigLIP2 for aerial fire risk classification
We examine the transfer of a pretrained SigLIP2 image encoder to seven class fire risk classification from aerial imagery.FlowHMR: Physically Plausible Motion Capture from Video
We present FlowHMR, a framework for recovering physically plausible global 3D human motion from monocular video.Decoding the Functional Roles of Register and High-Norm Patch Tokens in Vision Transformers
Self-supervised Vision Transformers (ViTs), such as DINOv2, learn rich visual representations, but the functions of their internal tokens remain poorly understood.What Should World Models Forget? Stratified Retention for Continual Adaptation
Continual learning treats degradation on previously seen data as evidence of failure, a convention inherited from settings with a stationary prediction target, where a correct label remains correct…4DCodeBench: Benchmarking Agents on Inverse Graphics of Dynamic Scenes
We introduce 4DCodeBench, a benchmark for 4D inverse graphics through code generation, in which agents reconstruct dynamic scenes from video as executable graphics programs.