activity
20242026
most citedDon't Splat your Gaussians: Volumetric Ray-Traced Primitives for Modeling and Rendering Scattering and Emissive Media

19 citations · 27 across the 10 of their papers we have counts for

collaborators

12 papers

cs.GR2026

Masking Judder in Foveated Rendering with Phase-Shifted Noise

Ville Cantory, Danhua Zhang, Victoria Interrante +1

Low framerates during rendering arise when frame time exceeds the rendering budget, or can be introduced deliberately to save computation, for example in foveated rendering, where…

cs.CV2026

Beyond Spherical Harmonics: Rethinking Appearance Models for Radiance Reconstruction

Ewa Miazga, Jorge Condor, Piotr Didyk

View-dependent appearance modeling remains a challenging problem in novel-view synthesis and reconstruction. Accurately representing complex angular effects often requires substant…

cs.CL2026

The Cost of Language: Centroid Erasure Exposes and Exploits Modal Competition in Multimodal Language Models

Akshay Paruchuri, Ishan Chatterjee, Henry Fuchs +2

Multimodal language models systematically underperform on visual perception tasks, yet the structure underlying this failure remains poorly understood. We propose centroid replacem…

cs.CV2026

Neural Harmonic Textures for High-Quality Primitive Based Neural Reconstruction

Jorge Condor, Nicolas Moenne-Loccoz, Merlin Nimier-David +3

Primitive-based methods such as 3D Gaussian Splatting have recently become the state-of-the-art for novel-view synthesis and related reconstruction tasks. Compared to neural fields…

cs.GR2026★ 1 cited

Gabor Fields: Orientation-Selective Level-of-Detail for Volume Rendering

Jorge Condor, Nicolai Hermann, Mehmet Ata Yurtsever +1

Gaussian-based representations have enabled efficient physically-based volume rendering at a fraction of the memory cost of regular, discrete, voxel-based distributions. However, s…

cs.GR2026

It's Not Just a Phase: Creating Phase-Aligned Peripheral Metamers

Sophie Kergaßner, Piotr Didyk

Novel display technologies can deliver high-quality images across a wide field of view, creating immersive experiences. While rendering for such devices is expensive, most of the c…

cs.GR2025★ 1 cited

Enhancing Foveated Rendering with Weighted Reservoir Sampling

Ville Cantory, Darya Biparva, Haoyu Tan +5

Spatiotemporal sensitivity to high frequency information declines with increased peripheral eccentricity. Foveated rendering exploits this by decreasing the spatial resolution of r…

eess.IV2025

Temporal Brightness Management for Immersive Content

Luca Surace, Jorge Condor, Piotr Didyk

Modern virtual reality headsets demand significant computational resources to render high-resolution content in real-time. Therefore, prioritizing power efficiency becomes crucial,…

cs.CV2025★ 5 cited

Towards Understanding Depth Perception in Foveated Rendering

Sophie Kergaßner, Taimoor Tariq, Piotr Didyk

The true vision for real-time virtual and augmented reality is reproducing our visual reality in its entirety on immersive displays. To this end, foveated rendering leverages the l…

cs.CV2024★ 1 cited

Human Vision Constrained Super-Resolution

Volodymyr Karpenko, Taimoor Tariq, Jorge Condor +1

Modern deep-learning super-resolution (SR) techniques process images and videos independently of the underlying content and viewing conditions. However, the sensitivity of the huma…

cs.CV2024

Puzzle Similarity: A Perceptually-guided Cross-Reference Metric for Artifact Detection in 3D Scene Reconstructions

Nicolai Hermann, Jorge Condor, Piotr Didyk

Modern reconstruction techniques can effectively model complex 3D scenes from sparse 2D views. However, automatically assessing the quality of novel views and identifying artifacts…

cs.GR2024★ 19 cited

Don't Splat your Gaussians: Volumetric Ray-Traced Primitives for Modeling and Rendering Scattering and Emissive Media

Jorge Condor, Sebastien Speierer, Lukas Bode +4

Efficient scene representations are essential for many computer graphics applications. A general unified representation that can handle both surfaces and volumes simultaneously, re…