18 citations · 26 across the 5 of their papers we have counts for
5 papers
Reshoot-Anything: A Self-Supervised Model for In-the-Wild Video Reshooting
Avinash Paliwal, Adithya Iyer, Shivin Yadav +2
Precise camera control for reshooting dynamic videos is bottlenecked by the severe scarcity of paired multi-view data for non-rigid scenes. We overcome this limitation with a highl…
TexSliders: Diffusion-Based Texture Editing in CLIP Space
Julia Guerrero-Viu, Milos Hasan, Arthur Roullier +6
Generative models have enabled intuitive image creation and manipulation using natural language. In particular, diffusion models have recently shown remarkable results for natural…
PRedItOR: Text Guided Image Editing with Diffusion Prior
Hareesh Ravi, Sachin Kelkar, Midhun Harikumar +1
Diffusion models have shown remarkable capabilities in generating high quality and creative images conditioned on text. An interesting application of such models is structure prese…
Enhanced Controllability of Diffusion Models via Feature Disentanglement and Realism-Enhanced Sampling Methods
Wonwoong Cho, Hareesh Ravi, Midhun Harikumar +5
As Diffusion Models have shown promising performance, a lot of efforts have been made to improve the controllability of Diffusion Models. However, how to train Diffusion Models to…
Controlled and Conditional Text to Image Generation with Diffusion Prior
Pranav Aggarwal, Hareesh Ravi, Naveen Marri +12
Denoising Diffusion models have shown remarkable performance in generating diverse, high quality images from text. Numerous techniques have been proposed on top of or in alignment…