activity
20172026
most citedAugmented Reality Meets Computer Vision : Efficient Data Generation for Urban Driving Scenes

16 citations · 19 across the 6 of their papers we have counts for

collaborators

9 papers

cs.CV2026

TRON: Tracing Rays to Orchestrate a Neural Renderer for 3D Gaussian Reconstructions

Or Perel, Hassan Abu Alhaija, Zian Wang +4

We introduce TRON, a rendering framework that combines 3D Gaussian ray tracing with neural rendering to enable realistic and controllable rendering of real-world 3D scenes under no…

cs.AI2025

Cultural Alien Sampler: Open-ended art generation balancing originality and coherence

Alejandro H. Artiles, Hiromu Yakura, Levin Brinkmann +6

In open-ended domains like art, autonomous agents must generate ideas that are both original and internally coherent, yet current Large Language Models (LLMs) either default to fam…

cs.AI2024

Alien Recombination: Exploring Concept Blends Beyond Human Cognitive Availability in Visual Art

Alejandro Hernandez, Levin Brinkmann, Ignacio Serna +6

While AI models have demonstrated remarkable capabilities in constrained domains like game strategy, their potential for genuine creativity in open-ended domains like art remains d…

cs.CV2022★ 2 cited

XDGAN: Multi-Modal 3D Shape Generation in 2D Space

Hassan Abu Alhaija, Alara Dirik, André Knörig +2

Generative models for 2D images has recently seen tremendous progress in quality, resolution and speed as a result of the efficiency of 2D convolutional architectures. However it i…

cs.CV2021

Enhancing Photorealism Enhancement

Stephan R. Richter, Hassan Abu AlHaija, Vladlen Koltun

We present an approach to enhancing the realism of synthetic images. The images are enhanced by a convolutional network that leverages intermediate representations produced by conv…

cs.CV2020

Intrinsic Autoencoders for Joint Neural Rendering and Intrinsic Image Decomposition

Hassan Abu Alhaija, Siva Karthik Mustikovela, Justus Thies +4

Neural rendering techniques promise efficient photo-realistic image synthesis while at the same time providing rich control over scene parameters by learning the physical image for…