19 citations · 60 across the 28 of their papers we have counts for
7 papers · 1 filter
RespoDiff: Dual-Module Bottleneck Transformation for Responsible & Faithful T2I Generation
Silpa Vadakkeeveetil Sreelatha, Sauradip Nag, Muhammad Awais +2
The rapid advancement of diffusion models has enabled high-fidelity and semantically rich text-to-image generation; however, ensuring fairness and safety remains an open challenge.…
Advances in 4D Representation: Geometry, Motion, and Interaction
Mingrui Zhao, Sauradip Nag, Kai Wang +5
We present a survey on 4D generation and reconstruction, a fast-evolving subfield of computer graphics whose developments have been propelled by recent advances in neural fields, g…
ASIA: Adaptive 3D Segmentation using Few Image Annotations
Sai Raj Kishore Perla, Aditya Vora, Sauradip Nag +2
We introduce ASIA (Adaptive 3D Segmentation using few Image Annotations), a novel framework that enables segmentation of possibly non-semantic and non-text-describable "parts" in 3…
CountLoop: Training-Free High-Instance Image Generation via Iterative Agent Guidance
Anindya Mondal, Ayan Banerjee, Sauradip Nag +3
Diffusion models excel at photorealistic synthesis but struggle with object count fidelity, especially in high-density settings. We introduce COUNTLOOP, a training-free framework t…
Cora: Correspondence-aware image editing using few step diffusion
Amirhossein Alimohammadi, Aryan Mikaeili, Sauradip Nag +3
Image editing is an important task in computer graphics, vision, and VFX, with recent diffusion-based methods achieving fast and high-quality results. However, edits requiring sign…
In-2-4D: Inbetweening from Two Single-View Images to 4D Generation
Sauradip Nag, Daniel Cohen-Or, Hao Zhang +1
We pose a new problem, In-2-4D, for generative 4D (i.e., 3D + motion) inbetweening to interpolate two single-view images. In contrast to video/4D generation from only text or a sin…
Articulate That Object Part (ATOP): 3D Part Articulation via Text and Motion Personalization
Aditya Vora, Sauradip Nag, Kai Wang +1
We present ATOP (Articulate That Object Part), a novel few-shot method based on motion personalization to articulate a static 3D object with respect to a part and its motion as pre…