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20182026
most citedSkeleton-Aware Networks for Deep Motion Retargeting

203 citations · 577 across the 28 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

cs.CV2023

Personalized Restoration via Dual-Pivot Tuning

Pradyumna Chari, Sizhuo Ma, Daniil Ostashev +4

Generative diffusion models can serve as a prior which ensures that solutions of image restoration systems adhere to the manifold of natural images. However, for restoring facial i…

cs.CV2023

Orthogonal Adaptation for Modular Customization of Diffusion Models

Ryan Po, Guandao Yang, Kfir Aberman +1

Customization techniques for text-to-image models have paved the way for a wide range of previously unattainable applications, enabling the generation of specific concepts across d…

cs.GR20231 cited

3D Paintbrush: Local Stylization of 3D Shapes with Cascaded Score Distillation

Dale Decatur, Itai Lang, Kfir Aberman +1

In this work we develop 3D Paintbrush, a technique for automatically texturing local semantic regions on meshes via text descriptions. Our method is designed to operate directly on…

cs.AI20238 cited

State of the Art on Diffusion Models for Visual Computing

Ryan Po, Wang Yifan, Vladislav Golyanik +15

The field of visual computing is rapidly advancing due to the emergence of generative artificial intelligence (AI), which unlocks unprecedented capabilities for the generation, edi…

cs.CV2023

RealFill: Reference-Driven Generation for Authentic Image Completion

Luming Tang, Nataniel Ruiz, Qinghao Chu +8

Recent advances in generative imagery have brought forth outpainting and inpainting models that can produce high-quality, plausible image content in unknown regions. However, the c…

cs.CV20231 cited

TEDi: Temporally-Entangled Diffusion for Long-Term Motion Synthesis

Zihan Zhang, Richard Liu, Kfir Aberman +1

The gradual nature of a diffusion process that synthesizes samples in small increments constitutes a key ingredient of Denoising Diffusion Probabilistic Models (DDPM), which have p…