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cs.CV2024

EP-CFG: Energy-Preserving Classifier-Free Guidance

Kai Zhang, Fujun Luan, Sai Bi +1

Classifier-free guidance (CFG) is widely used in diffusion models but often introduces over-contrast and over-saturation artifacts at higher guidance strengths. We present EP-CFG (…

cs.CV2024

Turbo3D: Ultra-fast Text-to-3D Generation

Hanzhe Hu, Tianwei Yin, Fujun Luan +6

We present Turbo3D, an ultra-fast text-to-3D system capable of generating high-quality Gaussian splatting assets in under one second. Turbo3D employs a rapid 4-step, 4-view diffusi…

cs.CV2024

Neural Gaffer: Relighting Any Object via Diffusion

Haian Jin, Yuan Li, Fujun Luan +6

Single-image relighting is a challenging task that involves reasoning about the complex interplay between geometry, materials, and lighting. Many prior methods either support only…

cs.CV2024

PBIR-NIE: Glossy Object Capture under Non-Distant Lighting

Guangyan Cai, Fujun Luan, Miloš Hašan +5

Glossy objects present a significant challenge for 3D reconstruction from multi-view input images under natural lighting. In this paper, we introduce PBIR-NIE, an inverse rendering…

cs.CV2024

DATENeRF: Depth-Aware Text-based Editing of NeRFs

Sara Rojas, Julien Philip, Kai Zhang +4

Recent advancements in diffusion models have shown remarkable proficiency in editing 2D images based on text prompts. However, extending these techniques to edit scenes in Neural R…

cs.CV2024

Neural Directional Encoding for Efficient and Accurate View-Dependent Appearance Modeling

Liwen Wu, Sai Bi, Zexiang Xu +5

Novel-view synthesis of specular objects like shiny metals or glossy paints remains a significant challenge. Not only the glossy appearance but also global illumination effects, in…