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20232026
most citedDoraemonGPT: Toward Understanding Dynamic Scenes with Large Language Models (Exemplified as A Video Agent)

7 citations · 18 across the 22 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CV2024

3DIS: Depth-Driven Decoupled Instance Synthesis for Text-to-Image Generation

Dewei Zhou, Ji Xie, Zongxin Yang +1

The increasing demand for controllable outputs in text-to-image generation has spurred advancements in multi-instance generation (MIG), allowing users to define both instance layou…

cs.CV2024

MIGC++: Advanced Multi-Instance Generation Controller for Image Synthesis

Dewei Zhou, You Li, Fan Ma +2

We introduce the Multi-Instance Generation (MIG) task, which focuses on generating multiple instances within a single image, each accurately placed at predefined positions with att…

cs.CV2024★ 1 cited

MIGC: Multi-Instance Generation Controller for Text-to-Image Synthesis

Dewei Zhou, You Li, Fan Ma +2

We present a Multi-Instance Generation (MIG) task, simultaneously generating multiple instances with diverse controls in one image. Given a set of predefined coordinates and their…

cs.CV2024★ 7 cited

DoraemonGPT: Toward Understanding Dynamic Scenes with Large Language Models (Exemplified as A Video Agent)

Zongxin Yang, Guikun Chen, Xiaodi Li +2

Recent LLM-driven visual agents mainly focus on solving image-based tasks, which limits their ability to understand dynamic scenes, making it far from real-life applications like g…

cs.CV2024

GD^2-NeRF: Generative Detail Compensation via GAN and Diffusion for One-shot Generalizable Neural Radiance Fields

Xiao Pan, Zongxin Yang, Shuai Bai +1

In this paper, we focus on the One-shot Novel View Synthesis (O-NVS) task which targets synthesizing photo-realistic novel views given only one reference image per scene. Previous…