Trending Research
Packing Input Frame Context in Next-Frame Prediction Models for Video Generation
We present a neural network structure, FramePack, to train next-frame (or next-frame-section) prediction models for video generation.
InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework
Third, to effectively train the framework, we construct a large-scale character dataset containing 10-million-level samples.
Reinforcement Learning from Human Feedback
Reinforcement learning from human feedback (RLHF) has become an important technical and storytelling tool to deploy the latest machine learning systems.
UniAnimate-DiT: Human Image Animation with Large-Scale Video Diffusion Transformer
Furthermore, we adopt a simple concatenation operation to integrate the reference appearance into the model and incorporate the pose information of the reference image for enhanced pose alignment.
PRIMA.CPP: Speeding Up 70B-Scale LLM Inference on Low-Resource Everyday Home Clusters
Emergency of DeepSeek R1 and QwQ 32B have broken through performance barriers for running frontier large language models (LLMs) on home devices.
IndexTTS: An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System
Recently, large language model (LLM) based text-to-speech (TTS) systems have gradually become the mainstream in the industry due to their high naturalness and powerful zero-shot voice cloning capabilities. Here, we introduce the IndexTTS system, which is mainly based on the XTTS and Tortoise model.
Bitnet.cpp: Efficient Edge Inference for Ternary LLMs
microsoft/bitnet
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The advent of 1-bit large language models (LLMs), led by BitNet b1. 58, has spurred interest in ternary LLMs.
LettuceDetect: A Hallucination Detection Framework for RAG Applications
Retrieval Augmented Generation (RAG) systems remain vulnerable to hallucinated answers despite incorporating external knowledge sources.
BIP3D: Bridging 2D Images and 3D Perception for Embodied Intelligence
In embodied intelligence systems, a key component is 3D perception algorithm, which enables agents to understand their surrounding environments.
Advanced Video Inpainting Using Optical Flow-Guided Efficient Diffusion
nevsnev/fgdvi
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Specifically, FloED employs a dual-branch architecture, where a flow branch first restores corrupted flow and a multi-scale flow adapter provides motion guidance to the main inpainting branch.
