3 papers
cs.CV2026
Appearance Pointers -- Multimodal Region Control of Diffusion Transformers
Rahul Sajnani, Yulia Gryaditskaya, RadomÃr MÄch +2
Controllable image generation remains challenging for creative professionals, who often require precise regional control over materials, object identities, and spatial arrangements…
cs.CV2026
GenHSI: Controllable Generation of Human-Scene Interaction Videos
Zekun Li, Rui Zhou, Rahul Sajnani +3
Large-scale pre-trained video diffusion models have exhibited remarkable capabilities in diverse video generation. However, existing solutions face several challenges in generating…
cs.CV2025
GeoDiffuser: Geometry-Based Image Editing with Diffusion Models
Rahul Sajnani, Jeroen Vanbaar, Jie Min +2
The success of image generative models has enabled us to build methods that can edit images based on text or other user input. However, these methods are bespoke, imprecise, requir…