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20192023
most cited3DGen: Triplane Latent Diffusion for Textured Mesh Generation

33 citations · 64 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.CV202333 cited

3DGen: Triplane Latent Diffusion for Textured Mesh Generation

Anchit Gupta, Wenhan Xiong, Yixin Nie +2

Latent diffusion models for image generation have crossed a quality threshold which enabled them to achieve mass adoption. Recently, a series of works have made advancements toward…

cs.CV20233 cited

CLIP-Layout: Style-Consistent Indoor Scene Synthesis with Semantic Furniture Embedding

Jingyu Liu, Wenhan Xiong, Ian Jones +3

Indoor scene synthesis involves automatically picking and placing furniture appropriately on a floor plan, so that the scene looks realistic and is functionally plausible. Such sce…

cs.CV20221 cited

Unsupervised Audio-Visual Lecture Segmentation

Darshan Singh S, Anchit Gupta, C. V. Jawahar +1

Over the last decade, online lecture videos have become increasingly popular and have experienced a meteoric rise during the pandemic. However, video-language research has primaril…

cs.CV20224 cited

Compressing Video Calls using Synthetic Talking Heads

Madhav Agarwal, Anchit Gupta, Rudrabha Mukhopadhyay +2

We leverage the modern advancements in talking head generation to propose an end-to-end system for talking head video compression. Our algorithm transmits pivot frames intermittent…

cs.CV20217 cited

Intelligent Video Editing: Incorporating Modern Talking Face Generation Algorithms in a Video Editor

Anchit Gupta, Faizan Farooq Khan, Rudrabha Mukhopadhyay +2

This paper proposes a video editor based on OpenShot with several state-of-the-art facial video editing algorithms as added functionalities. Our editor provides an easy-to-use inte…