Rishubh Parihar* — accepted AI-conference papers

2024

PreciseControl: Enhancing Text-To-Image Diffusion Models with Fine-Grained Attribute Control

Rishubh Parihar*, Sachidanand VS, Sabariswaran Mani, Tejan Karmali, Venkatesh Babu RADHAKRISHNAN

ECCV 2024poster

"Recently, we have seen a surge of personalization methods for text-to-image (T2I) diffusion models to learn a concept using a few images. Existing approaches, when used for face personalization, suffer to achieve convincing inversion with identity preservation and rely on semantic text-based editin…

Cited by 13 Source ↗PDF ↗code ↗Scholar ↗

2024

Text2Place: Affordance-aware Text Guided Human Placement

Rishubh Parihar*, Harsh Gupta, Sachidanand VS, Venkatesh Babu RADHAKRISHNAN

ECCV 2024poster

"For a given scene, humans can easily reason for the locations and pose to place objects. Designing a computational model to reason about these affordances poses a significant challenge, mirroring the intuitive reasoning abilities of humans. This work tackles the problem of realistic human insertion…

Cited by 4 Source ↗PDF ↗Scholar ↗