activity
20242026
most citedCollaborative Control for Geometry-Conditioned PBR Image Generation

1 citations · 1 across the 8 of their papers we have counts for

collaborators

10 papers

cs.CV2026

SemanTok: Predictable Semantic Tokens for Efficient Autoregressive Video Generation

Mikhail Dereviannykh, Vikram Voleti, Simon Donne +3

Recent video-based world models pair the scalability of autoregressive (AR) prediction with the visual quality of diffusion models. The choice of scene tokenizer is paramount for t…

cs.CV2026

Arbor: Explicit Geometric Conditioning for Controllable 3D Asset Generation

Jan-Niklas Dihlmann, Andreas Engelhardt, Simon Donne +2

Text and image conditioned 3D models now generate convincing assets, but they still offer little direct control over the space an object should occupy or avoid. In authoring, this…

cs.LG2026

OCTOPUS: Optimized KV Cache for Transformers via Octahedral Parametrization Under optimal Squared error quantization

Mark Boss, Vikram Voleti, Simon Donné +1

The key-value (KV) cache dominates memory bandwidth and footprint in long-context autoregressive inference. Recent rotation-preconditioned codecs (TurboQuant, PolarQuant) show that…

cs.CV2025

Foley Control: Aligning a Frozen Latent Text-to-Audio Model to Video

Ciara Rowles, Varun Jampani, Simon Donné +3

Foley Control is a lightweight approach to video-guided Foley that keeps pretrained single-modality models frozen and learns only a small cross-attention bridge between them. We co…

cs.GR2025

ReSWD: ReSTIR'd, not shaken. Combining Reservoir Sampling and Sliced Wasserstein Distance for Variance Reduction

Mark Boss, Andreas Engelhardt, Simon Donné +1

Distribution matching is central to many vision and graphics tasks, where the widely used Wasserstein distance is too costly to compute for high dimensional distributions. The Slic…

cs.CV2025

Stable Part Diffusion 4D: Multi-View RGB and Kinematic Parts Video Generation

Hao Zhang, Chun-Han Yao, Simon Donné +2

We present Stable Part Diffusion 4D (SP4D), a framework for generating paired RGB and kinematic part videos from monocular inputs. Unlike conventional part segmentation methods tha…

cs.CV2024

Jointly Generating Multi-view Consistent PBR Textures using Collaborative Control

Shimon Vainer, Konstantin Kutsy, Dante De Nigris +3

Multi-view consistency remains a challenge for image diffusion models. Even within the Text-to-Texture problem, where perfect geometric correspondences are known a priori, many met…

cs.CV2024

Geometry Image Diffusion: Fast and Data-Efficient Text-to-3D with Image-Based Surface Representation

Slava Elizarov, Ciara Rowles, Simon Donné

Generating high-quality 3D objects from textual descriptions remains a challenging problem due to computational cost, the scarcity of 3D data, and complex 3D representations. We in…

cs.CV2024

IPAdapter-Instruct: Resolving Ambiguity in Image-based Conditioning using Instruct Prompts

Ciara Rowles, Shimon Vainer, Dante De Nigris +3

Diffusion models continuously push the boundary of state-of-the-art image generation, but the process is hard to control with any nuance: practice proves that textual prompts are i…

cs.CV2024★ 1 cited

Collaborative Control for Geometry-Conditioned PBR Image Generation

Shimon Vainer, Mark Boss, Mathias Parger +5

Graphics pipelines require physically-based rendering (PBR) materials, yet current 3D content generation approaches are built on RGB models. We propose to model the PBR image distr…