· ai
[Paper] Neuromorphic Eye Tracking for Low-Latency Pupil Detection
Eye tracking for wearable systems demands low latency and milliwatt-level power, but conventional frame-based pipelines struggle with motion blur, high compute ...
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- · ai
[Paper] A Distributed Framework for Privacy-Enhanced Vision Transformers on the Edge
Nowadays, visual intelligence tools have become ubiquitous, offering all kinds of convenience and possibilities. However, these tools have high computational re...
- · ai
[Paper] Astra: General Interactive World Model with Autoregressive Denoising
Recent advances in diffusion transformers have empowered video generation models to generate high-quality video clips from texts or images. However, world model...
- · ai
[Paper] Selfi: Self Improving Reconstruction Engine via 3D Geometric Feature Alignment
Novel View Synthesis (NVS) has traditionally relied on models with explicit 3D inductive biases combined with known camera parameters from Structure-from-Motion...
- · ai
[Paper] Efficiently Reconstructing Dynamic Scenes One D4RT at a Time
Understanding and reconstructing the complex geometry and motion of dynamic scenes from video remains a formidable challenge in computer vision. This paper intr...
- · ai
[Paper] Unified Diffusion Transformer for High-fidelity Text-Aware Image Restoration
Text-Aware Image Restoration (TAIR) aims to recover high- quality images from low-quality inputs containing degraded textual content. While diffusion models pro...
- · ai
[Paper] LiDAS: Lighting-driven Dynamic Active Sensing for Nighttime Perception
Nighttime environments pose significant challenges for camera-based perception, as existing methods passively rely on the scene lighting. We introduce Lighting-...
- · ai
[Paper] Self-Evolving 3D Scene Generation from a Single Image
Generating high-quality, textured 3D scenes from a single image remains a fundamental challenge in vision and graphics. Recent image-to-3D generators recover re...
- · ai
[Paper] UniLayDiff: A Unified Diffusion Transformer for Content-Aware Layout Generation
Content-aware layout generation is a critical task in graphic design automation, focused on creating visually appealing arrangements of elements that seamlessly...
- · ai
[Paper] No Labels, No Problem: Training Visual Reasoners with Multimodal Verifiers
Visual reasoning is challenging, requiring both precise object grounding and understanding complex spatial relationships. Existing methods fall into two camps: ...
- · ai
[Paper] Accelerated Rotation-Invariant Convolution for UAV Image Segmentation
Rotation invariance is essential for precise, object-level segmentation in UAV aerial imagery, where targets can have arbitrary orientations and exhibit fine-sc...
- · ai
[Paper] SATGround: A Spatially-Aware Approach for Visual Grounding in Remote Sensing
Vision-language models (VLMs) are emerging as powerful generalist tools for remote sensing, capable of integrating information across diverse tasks and enabling...