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Stylecodes: Encoding Stylistic Information For Image Generation
Ciara Rowles
Diffusion models excel in image generation, but controlling them remains a challenge. We focus on the problem of style-conditioned image generation. Although example images work, t…
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…
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…
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…
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…