7 citations · 8 across the 8 of their papers we have counts for
8 papers
LoST: Level of Semantics Tokenization for 3D Shapes
Niladri Shekhar Dutt, Zifan Shi, Paul Guerrero +4
Tokenization is a fundamental technique in the generative modeling of various modalities. In particular, it plays a critical role in autoregressive (AR) models, which have recently…
MonetGPT: Solving Puzzles Enhances MLLMs' Image Retouching Skills
Niladri Shekhar Dutt, Duygu Ceylan, Niloy J. Mitra
Retouching is an essential task in post-manipulation of raw photographs. Generative editing, guided by text or strokes, provides a new tool accessible to users but can easily chang…
SMF: Template-free and Rig-free Animation Transfer using Kinetic Codes
Sanjeev Muralikrishnan, Niladri Shekhar Dutt, Niloy J. Mitra
Animation retargetting applies sparse motion description (e.g., keypoint sequences) to a character mesh to produce a semantically plausible and temporally coherent full-body mesh s…
FlairGPT: Repurposing LLMs for Interior Designs
Gabrielle Littlefair, Niladri Shekhar Dutt, Niloy J. Mitra
Interior design involves the careful selection and arrangement of objects to create an aesthetically pleasing, functional, and harmonized space that aligns with the client's design…
Temporal Residual Jacobians For Rig-free Motion Transfer
Sanjeev Muralikrishnan, Niladri Shekhar Dutt, Siddhartha Chaudhuri +4
We introduce Temporal Residual Jacobians as a novel representation to enable data-driven motion transfer. Our approach does not assume access to any rigging or intermediate shape k…
Diffusion 3D Features (Diff3F): Decorating Untextured Shapes with Distilled Semantic Features
Niladri Shekhar Dutt, Sanjeev Muralikrishnan, Niloy J. Mitra
We present Diff3F as a simple, robust, and class-agnostic feature descriptor that can be computed for untextured input shapes (meshes or point clouds). Our method distills diffusio…
ProteusNeRF: Fast Lightweight NeRF Editing using 3D-Aware Image Context
Binglun Wang, Niladri Shekhar Dutt, Niloy J. Mitra
Neural Radiance Fields (NeRFs) have recently emerged as a popular option for photo-realistic object capture due to their ability to faithfully capture high-fidelity volumetric cont…
A study of traits that affect learnability in GANs
Niladri Shekhar Dutt, Sunil Patel
Generative Adversarial Networks GANs are algorithmic architectures that use two neural networks, pitting one against the opposite so as to come up with new, synthetic instances of…