Search Results for author:
Found 7 papers, 4 papers with code
InternLM2 Technical Report
The evolution of Large Language Models (LLMs) like ChatGPT and GPT-4 has sparked discussions on the advent of Artificial General Intelligence (AGI).
Ranked #5 on
Long-Context Understanding
on Ada-LEval (BestAnswer)
InternLM-Math: Open Math Large Language Models Toward Verifiable Reasoning
We further explore how to use LEAN to solve math problems and study its performance under the setting of multi-task learning which shows the possibility of using LEAN as a unified platform for solving and proving in math.
DreamTalk: When Expressive Talking Head Generation Meets Diffusion Probabilistic Models
In this work, we propose a DreamTalk framework to fulfill this gap, which employs meticulous design to unlock the potential of diffusion models in generating expressive talking heads.
Hierarchical Spatio-temporal Decoupling for Text-to-Video Generation
At the structure level, we decompose the T2V task into two steps, including spatial reasoning and temporal reasoning, using a unified denoiser.
Ranked #5 on
Text-to-Video Generation
on MSR-VTT
I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models
By this means, I2VGen-XL can simultaneously enhance the semantic accuracy, continuity of details and clarity of generated videos.
LipFormer: High-Fidelity and Generalizable Talking Face Generation With a Pre-Learned Facial Codebook
Generating a talking face video from the input audio sequence is a practical yet challenging task.
Transformation GAN for Unsupervised Image Synthesis and Representation Learning
To improve both image synthesis quality and representation learning performance under the unsupervised setting, in this paper, we propose a simple yet effective Transformation Generative Adversarial Networks (TrGAN).
