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Papers for April 18, 2026

10 papers found

Ninghui Xu, Fabio Tosi, Lihui Wang, Jiawei Han, Luca Bartolomei, Zhiting Yao, Matteo Poggi, Stefano Mattoccia 4/16/2026 arxiv

computer vision

Conventional frame-based cameras capture rich contextual information but suffer from limited temporal resolution and motion blur in dynamic scenes. Event cameras offer an alternative visual representation with higher dynamic range free from such limitations. The complementary characteristics of the ...

Keywords: event cameras, stereo matching, cross-modal fusion, prompting, Bi-CMPStereo, canonical representation, computer vision

Zhanhao Liang, Tao Yang, Jie Wu, Chengjian Feng, Liang Zheng 4/16/2026 arxiv

computer vision

This paper focuses on the alignment of flow matching models with human preferences. A promising way is fine-tuning by directly backpropagating reward gradients through the differentiable generation process of flow matching. However, backpropagating through long trajectories results in prohibitive me...

Keywords: LeapAlign, flow matching, direct gradient, leap trajectories, ODE sampling, reward fine-tuning, image-text alignment, Flux model

Sumit Chaturvedi, Yannick Hold-Geoffroy, Mengwei Ren, Jingyuan Liu, He Zhang, Yiqun Mei, Julie Dorsey, Zhixin Shu 4/16/2026 arxiv

computer vision

This paper presents a method for image relighting that enables precise and continuous control over multiple illumination attributes in a photograph. We formulate relighting as a conditional image generation task and introduce attribute tokens to encode distinct lighting factors such as intensity, co...

Keywords: image relighting, attribute tokens, lighting control, conditional image generation, synthetic dataset, photorealistic editing, inverse rendering, AR/VR

Yan Li, Zezi Zeng, Yifan Yang, Yuqing Yang, Ning Liao, Weiwei Guo, Lili Qiu, Mingxi Cheng, Qi Dai, Zhendong Wang, Zhengyuan Yang, Xue Yang, Ji Li, Lijuan Wang, Chong Luo 4/16/2026 arxiv

machine learning

The rapid progress of Artificial Intelligence Generated Content (AIGC) tools enables images, videos, and visualizations to be created on demand for webpage design, offering a flexible and increasingly adopted paradigm for modern UI/UX. However, directly integrating such tools into automated webpage ...

Keywords: MM-WebAgent, hierarchical agent, multimodal, AIGC, webpage generation, layout optimization, iterative self-reflection, benchmark

Hao Gao, Shaoyu Chen, Yifan Zhu, Yuehao Song, Wenyu Liu, Qian Zhang, Xinggang Wang 4/16/2026 arxiv

machine learning

High-level autonomous driving requires motion planners capable of modeling multimodal future uncertainties while remaining robust in closed-loop interactions. Although diffusion-based planners are effective at modeling complex trajectory distributions, they often suffer from stochastic instabilities...

Keywords: RAD-2, diffusion-based planner, generator-discriminator, reinforcement learning, BEV-Warp, Temporally Consistent Group Relative Policy Optimization, On-policy Generator Optimization, closed-loop planning

Yiyang Jiang, Li Zhang, Xiao-Yong Wei, Li Qing 4/16/2026 arxiv

machine learning

Many SLT systems quietly assume that brief chunks of signing map directly to spoken-language words. That assumption breaks down because signers often create meaning on the fly using context, space, and movement. We revisit SLT and argue that it is mainly a cross-modal reasoning task, not just a stra...

Keywords: Sign Language Translation, latent thoughts, plan-then-ground, gloss-free, cross-modal reasoning, multimodal, dataset

Leyi Wu, Pengjun Fang, Kai Sun, Yazhou Xing, Yinwei Wu, Songsong Wang, Ziqi Huang, Dan Zhou, Yingqing He, Ying-Cong Chen, Qifeng Chen 4/16/2026 arxiv

computer vision

Video generation has advanced rapidly, with recent methods producing increasingly convincing animated results. However, existing benchmarks-largely designed for realistic videos-struggle to evaluate animation-style generation with its stylized appearance, exaggerated motion, and character-centric co...

Keywords: AnimationBench, animation image-to-video, Twelve Basic Principles of Animation, IP Preservation, visual-language models, character-centric consistency, benchmarking, evaluation metrics

Fabrizio Genilotti, Arianna Stropeni, Gionata Grotto, Francesco Borsatti, Manuel Barusco, Davide Dalle Pezze, Gian Antonio Susto 4/16/2026 arxiv

machine learning

The reliability of a machine vision system for autonomous driving depends heavily on its training data distribution. When a vehicle encounters significantly different conditions, such as atypical obstacles, its perceptual capabilities can degrade substantially. Unlike many domains where errors carry...

Keywords: Visual Anomaly Detection, Autonomous Driving, AnoVox, Tiny-Dinomaly, Benchmarking, Edge Deployment, MobileNet, DeiT-Tiny

Roni Itkin, Noam Issachar, Yehonatan Keypur, Yehonatan Keypur, Anpei Chen, Sagie Benaim 4/16/2026 arxiv

computer vision

The efficient spatial allocation of primitives serves as the foundation of 3D Gaussian Splatting, as it directly dictates the synergy between representation compactness, reconstruction speed, and rendering fidelity. Previous solutions, whether based on iterative optimization or feed-forward inferenc...

Keywords: 3D Gaussian Splatting, global latent representation, feed-forward reconstruction, coarse-to-fine training, novel-view synthesis, RealEstate10K, ACID, compact rendering

[object Object], [object Object] 4/16/2026 huggingface

machine learning

The rigorous evaluation of the novelty of a scientific paper is, even for human scientists, a challenging task. With the increasing interest in AI scientists and AI involvement in scientific idea generation and paper writing, it also becomes increasingly important that this task be automatable and r...

Keywords: scientific novelty, axiomatic benchmark, novelty metrics, metric combination, AI research evaluation, per-axiom weighting
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