3 citations · 4 across the 5 of their papers we have counts for
5 papers
BlenderFusion: 3D-Grounded Visual Editing and Generative Compositing
Jiacheng Chen, Ramin Mehran, Xuhui Jia +2
We present BlenderFusion, a generative visual compositing framework that synthesizes new scenes by recomposing objects, camera, and background. It follows a layering-editing-compos…
Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps
Nanye Ma, Shangyuan Tong, Haolin Jia +8
Generative models have made significant impacts across various domains, largely due to their ability to scale during training by increasing data, computational resources, and model…
Video Creation by Demonstration
Yihong Sun, Hao Zhou, Liangzhe Yuan +7
We explore a novel video creation experience, namely Video Creation by Demonstration. Given a demonstration video and a context image from a different scene, we generate a physical…
Epsilon-VAE: Denoising as Visual Decoding
Long Zhao, Sanghyun Woo, Ziyu Wan +6
In generative modeling, tokenization simplifies complex data into compact, structured representations, creating a more efficient, learnable space. For high-dimensional visual data,…
Alchemist: Parametric Control of Material Properties with Diffusion Models
Prafull Sharma, Varun Jampani, Yuanzhen Li +5
We propose a method to control material attributes of objects like roughness, metallic, albedo, and transparency in real images. Our method capitalizes on the generative prior of t…