1 citations · 2 across the 5 of their papers we have counts for
5 papers
Instruction-Based Video Editing by Repurposing an Image Editing Model
Yunpeng Bai, Yossi Gandelsman, Michaël Gharbi +1
Instruction-based video editing is commonly built on video-pretrained generative backbones: a video diffusion transformer is adapted, at considerable cost, to condition on a source…
DuSPiT: Dual-Branch Sub-Patch Pixel Diffusion Transformer
Yunpeng Bai, Yossi Gandelsman, Michaël Gharbi
Diffusion Transformers achieve strong image generation performance, but most operate in compressed latent spaces. Pixel-space diffusion avoids this information loss, yet existing a…
Inference-Time Distillation: Cost-Efficient Agents Without Fine-Tuning or Manual Prompt Engineering
Vishnu Sarukkai, Asanshay Gupta, James Hong +2
Deploying LLM agents at scale typically requires choosing between quality and cost. Existing cost-reduction approaches fail to preserve agility: the ability to iterate rapidly with…
Learning Subject-Aware Cropping by Outpainting Professional Photos
James Hong, Lu Yuan, Michaël Gharbi +2
How to frame (or crop) a photo often depends on the image subject and its context; e.g., a human portrait. Recent works have defined the subject-aware image cropping task as a nuan…
VecFusion: Vector Font Generation with Diffusion
Vikas Thamizharasan, Difan Liu, Shantanu Agarwal +5
We present VecFusion, a new neural architecture that can generate vector fonts with varying topological structures and precise control point positions. Our approach is a cascaded d…