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20212026
most citedDrag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold

205 citations · 301 across the 11 of their papers we have counts for

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5 papers · 1 filter

cs.GR2025

Splat the Net: Radiance Fields with Splattable Neural Primitives

Xilong Zhou, Bao-Huy Nguyen, Loïc Magne +3

Radiance fields have emerged as a predominant representation for modeling 3D scene appearance. Neural formulations such as Neural Radiance Fields provide high expressivity but requ…

cs.GR2025

Marching Neurons: Accurate Surface Extraction for Neural Implicit Shapes

Christian Stippel, Felix Mujkanovic, Thomas Leimkühler +1

Accurate surface geometry representation is crucial in 3D visual computing. Explicit representations, such as polygonal meshes, and implicit representations, like signed distance f…

cs.GR2024

Bracket Diffusion: HDR Image Generation by Consistent LDR Denoising

Mojtaba Bemana, Thomas Leimkühler, Karol Myszkowski +2

We demonstrate generating HDR images using the concerted action of multiple black-box, pre-trained LDR image diffusion models. Relying on a pre-trained LDR generative diffusion mod…

cs.GR2023★ 73 cited

Neural Point Catacaustics for Novel-View Synthesis of Reflections

Georgios Kopanas, Thomas Leimkühler, Gilles Rainer +2

View-dependent effects such as reflections pose a substantial challenge for image-based and neural rendering algorithms. Above all, curved reflectors are particularly hard, as they…

cs.GR2021★ 18 cited

FreeStyleGAN: Free-view Editable Portrait Rendering with the Camera Manifold

Thomas Leimkühler, George Drettakis

Current Generative Adversarial Networks (GANs) produce photorealistic renderings of portrait images. Embedding real images into the latent space of such models enables high-level i…