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Capture that iconic cinematic night aesthetic with CineStill 800T Night Film LoRA. Use trigger word 'c1n3st1ll' at strength 0.85-1.0 for best results. nnc1n3st1ll a neon-lit cityscape with reflections in puddles, focus on futuristic architecturenc1n3st1ll portrait of a night owl in dimly lit jazz

CineStill 800T Night Film LoRA is a machine learning model addon for Stable Diffusion that applies a cinematic night aesthetic to AI-generated images, using the trigger word 'c1n3st1ll' at strength 0.

local-air-stablediffusion

29 May 2026

Search: “urban”

Human-in-the-Loop Contextual Bandits for Short-Term Rental Dynamic Pricing: Structural Equivalence of Historical Warm-Up and Approval-Gated Live Learning

Semantic-weighted ICP for LiDAR Odometry: Class-Aware Residual Reweighting for Robust Scan Registration

Degeneration of Sliding-Window Factor Graph Optimization into Iterated Extended Kalman Filtering

Digital-to-Physical Transfer of Adversarial Patches for Aerial Vehicle Detection

Embedding-Space Diffusion for Zero-Shot Environmental Sound Classification

GNN-Enabled Robust Hybrid Beamforming with Score-Based CSI Generation and Denoising

Male bowerbirds hope to dazzle females with bright human-made items

Places in the Wild: A Large, High-Resolution RAW Photograph Dataset for Ecologically Valid Vision Research

SWARD: Stochastic Window-Attention-Based Relational Distillation for Cross-Architectural Semantic Segmentation

Capture that iconic cinematic night aesthetic with CineStill 800T Night Film LoRA. Use trigger word 'c1n3st1ll' at strength 0.85-1.0 for best results. nnc1n3st1ll a neon-lit cityscape with reflections in puddles, focus on futuristic architecturenc1n3st1ll portrait of a night owl in dimly lit jazz

FRUC: Feedforward Dynamic Scene Reconstruction from Uncalibrated Collaborative Driving Views

Multi-Resolution End-to-End Deep Neural Network for Optimizing Latency-Accuracy Tradeoff in Autonomous Driving

A Road-Conditioned Traffic Movie Prediction Network with Spatiotemporal and Structure-Consistent Learning

Delay-Aware Reinforcement Learning for Highway On-Ramp Merging under Stochastic Communication Latency

FLORO: A Multimodal Geospatial Foundation Model for Ecological Remote Sensing Across Sensors and Scales

Planning a Community Approach to Diabetes Care in Low- and Middle-Income Countries Using Optimization

G-DRAGON: Geospatial Reasoning and Dynamic Planning for Retrieval-Augmented Outdoor Navigation

Kilometer-Scale GNSS-Denied UAV Navigation via Heightmap Gradients: A Winning System from the SPRIN-D Challenge

Metropolis-Scale Resilient and Trustworthy Traffic Flow Inference Using Multi-Source Data

Quantification of atmospheric carbon dioxide from the Geostationary Operational Environmental Satellite (GOES East)

SEIDM: A Safe and Efficient Intelligent Driver Model for Autonomous Driving Behavior

An AI-Driven Framework for Energy-Efficient Environmental Monitoring in Smart Cities Using Edge Intelligence

CarlaNCAP: A Framework for Quantifying the Safety of Vulnerable Road Users in Infrastructure-Assisted Collective Perception Using EuroNCAP Scenarios

Transform-Invariant Generative Ray Path Sampling for Efficient Radio Propagation Modeling

Automatic Contextual Audio Denoising

3D LULC classification using multispectral LiDAR and deep learning: current and prospective schemes

Q-Net: Queue Length Estimation via Kalman-based Neural Networks

An Integrated Forecasting Prototype for Emergency Department Boarding Time to Support Proactive Operational Decision Making

CosFly: Plan in the Matrix, Fly in the World

Going PLACES: Participatory Localized Red Teaming for Text-to-Image Safety in the Global South

Graph Neural Networks for Community Detection in Graph Signal Analysis

4DLidarOpen: An Open 4D FMCW Lidar Dataset for Motion-Aware Autonomous Driving

CosFly-Track: A Large-Scale Multi-Modal Dataset for UAV Visual Tracking via Multi-Constraint Trajectory Optimization

From Pixels to Places: A Systematic Benchmark for Evaluating Image Geolocalization Ability in Large Language Models

Generative AI in K-12 Classrooms: A Midyear Implementation Report

Join tunneling – the underground movement

SuReNav: Superpixel Graph-based Constraint Relaxation for Navigation in Over-constrained Environments

Unleashing the Potential of Diffusion Models for End-to-End Autonomous Driving

A Topology-Aware Spatiotemporal Handover Framework for Continuous Multi-UAV Tracking

AirNav: A Large-Scale UAV Vision-and-Language Navigation Dataset with Natural and Diverse Instructions

TSBOW -- Traffic Surveillance Benchmark for Occluded Vehicles Under Various Weather Conditions

Where to Perch in a Tree: Vision-Guidance for Tree-Grasping Drones

this and a high speed maglev from San Francisco to the empty ocean cliffside coasts of North California

SVAG-Bench: A Large-Scale Benchmark for Multi-Instance Spatio-temporal Video Action Grounding

Belief-Space Residual Risk for Automated Driving under Localization Uncertainty

Fractal Graph Contrastive Learning

Smart moves: Building resilient transportation systems with Google AI

Beyond Self-Play: Hierarchical Reasoning for Continuous Motion in Closed-Loop Traffic Simulation