84 citations · 200 across the 16 of their papers we have counts for
16 papers
NVS-Adapter: Plug-and-Play Novel View Synthesis from a Single Image
Yoonwoo Jeong, Jinwoo Lee, Chiheon Kim +2
Transfer learning of large-scale Text-to-Image (T2I) models has recently shown impressive potential for Novel View Synthesis (NVS) of diverse objects from a single image. While pre…
Locality-Aware Generalizable Implicit Neural Representation
Doyup Lee, Chiheon Kim, Minsu Cho +1
Generalizable implicit neural representation (INR) enables a single continuous function, i.e., a coordinate-based neural network, to represent multiple data instances by modulating…
Towards End-to-End Generative Modeling of Long Videos with Memory-Efficient Bidirectional Transformers
Jaehoon Yoo, Semin Kim, Doyup Lee +2
Autoregressive transformers have shown remarkable success in video generation. However, the transformers are prohibited from directly learning the long-term dependency in videos du…
Generalizable Implicit Neural Representations via Instance Pattern Composers
Chiheon Kim, Doyup Lee, Saehoon Kim +2
Despite recent advances in implicit neural representations (INRs), it remains challenging for a coordinate-based multi-layer perceptron (MLP) of INRs to learn a common representati…
Draft-and-Revise: Effective Image Generation with Contextual RQ-Transformer
Doyup Lee, Chiheon Kim, Saehoon Kim +2
Although autoregressive models have achieved promising results on image generation, their unidirectional generation process prevents the resultant images from fully reflecting glob…
Autoregressive Image Generation using Residual Quantization
Doyup Lee, Chiheon Kim, Saehoon Kim +2
For autoregressive (AR) modeling of high-resolution images, vector quantization (VQ) represents an image as a sequence of discrete codes. A short sequence length is important for a…