1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2024
xGen-VideoSyn-1: High-fidelity Text-to-Video Synthesis with Compressed Representations
Can Qin, Congying Xia, Krithika Ramakrishnan +16
We present xGen-VideoSyn-1, a text-to-video (T2V) generation model capable of producing realistic scenes from textual descriptions. Building on recent advancements, such as OpenAI'…
cs.CV2023★ 1 cited
Dolfin: Diffusion Layout Transformers without Autoencoder
Yilin Wang, Zeyuan Chen, Liangjun Zhong +3
In this paper, we introduce a novel generative model, Diffusion Layout Transformers without Autoencoder (Dolfin), which significantly improves the modeling capability with reduced…
cs.IR2023
Beyond Semantics: Learning a Behavior Augmented Relevance Model with Self-supervised Learning
Zeyuan Chen, Wei Chen, Jia Xu +2
Relevance modeling aims to locate desirable items for corresponding queries, which is crucial for search engines to ensure user experience. Although most conventional approaches ad…