Trending Research
Score-Guided Diffusion for 3D Human Recovery
statho/scorehmr
•
•
We present Score-Guided Human Mesh Recovery (ScoreHMR), an approach for solving inverse problems for 3D human pose and shape reconstruction.
Rip-NeRF: Anti-aliasing Radiance Fields with Ripmap-Encoded Platonic Solids
Despite significant advancements in Neural Radiance Fields (NeRFs), the renderings may still suffer from aliasing and blurring artifacts, since it remains a fundamental challenge to effectively and efficiently characterize anisotropic areas induced by the cone-casting procedure.
Is Sora a World Simulator? A Comprehensive Survey on General World Models and Beyond
gigaai-research/general-world-models-survey
•
•
General world models represent a crucial pathway toward achieving Artificial General Intelligence (AGI), serving as the cornerstone for various applications ranging from virtual environments to decision-making systems.
SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation
ailab-cvc/seed-x
•
•
We hope that our work will inspire future research into what can be achieved by versatile multimodal foundation models in real-world applications.
WavCraft: Audio Editing and Generation with Natural Language Prompts
We introduce WavCraft, a collective system that leverages large language models (LLMs) to connect diverse task-specific models for audio content creation and editing.
Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
mindspore-lab/mindone
•
•
None 2023
We then explore the impact of finetuning our base model on high-quality data and train a text-to-video model that is competitive with closed-source video generation.
TimeGPT-1
In this paper, we introduce TimeGPT, the first foundation model for time series, capable of generating accurate predictions for diverse datasets not seen during training.
AlphaMath Almost Zero: process Supervision without process
We proceed to train a step-level value model designed to improve the LLM's inference process in mathematical domains.
QLoRA: Efficient Finetuning of Quantized LLMs
internlm/xtuner
•
•
NeurIPS 2023
Our best model family, which we name Guanaco, outperforms all previous openly released models on the Vicuna benchmark, reaching 99. 3% of the performance level of ChatGPT while only requiring 24 hours of finetuning on a single GPU.
InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models
We present InstantMesh, a feed-forward framework for instant 3D mesh generation from a single image, featuring state-of-the-art generation quality and significant training scalability.
