[2] Bei Chen, Fengji Zhang, Anh Nguyen, Daoguang Zan, Zeqi Lin, Jian-Guang Lou, and Weizhu Chen. CodeT: Code generation with generated tests. In ICLR, 2023a. [3] Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra...
We present an approach to define template languages for generating syntactically correct code. In the first part of the paper, we define the syntax and semantics of a template language for text generation. We use Natural Semantics for expressing both the
Text-to-Image generation in the general domain has long been an open problem, which requires both a powerful generative model and cross-modal understanding. We propose CogView, a 4-billion-parameter Transformer with VQ-VAE tokenizer to advance this problem. We also demonstrate the finetuning strat...
GPT-2Code generation, as a very hot application area of deep learning models for text, consists of two different fields: code-to-code and text-to-code. A recent approach, GraphCodeBERT uses code graph, which is called data flow, and showed good performance improvement. The base model ...
Recently, text-to-music generation models have achieved unprecedented results in synthesizing high-quality and diverse music samples from a given text prompt. Despite these advances, it remains unclear how one can generate personalized, user-specific musical concepts, manipulate them, and combine them ...
At the annual Baidu World Conference, CEO Robin Li introduced I-RAG, a text-to-image technology that leverages Baidu's search capabilities to address the "hallucination" issue, referring to the generation of images that deviate from the input text or contain non-existent elements. ...
Visual Programming for Text-to-Image Generation and Evaluation Jaemin Cho, Abhay Zala, Mohit Bansal [Project Page] [Paper] [Code for VPGen] Change Log See our change log here. Code Structure # Evaluate Source Code src/ # Data Files data/ # Data Download and Code Run Scripts scripts/ Se...
unique characters:", n_unique_chars) # dictionary that converts characters to integers char2int = {c: i for i, c in enumerate(vocab)} # dictionary that converts integers to characters int2char = {i: c for i, c in enumerate(vocab)} # save these dictionaries for later generation ...
An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversionrinongal/textual_inversion • • 2 Aug 2022 Yet, it is unclear how such freedom can be exercised to generate images of specific unique concepts, modify their appearance, or compose them in new roles ...
JEN-1: Text-Guided Universal Music Generation with Omnidirectional Diffusion Models 0417keito/JEN-1-pytorch • • 9 Aug 2023 Despite the task's significance, prevailing generative models exhibit limitations in music quality, computational efficiency, and generalization....