Trending Research
TorchFX: A modern approach to Audio DSP with PyTorch and GPU acceleration
In response, we introduce TorchFX: a GPU-accelerated Python library for DSP, specifically engineered to facilitate sophisticated audio signal processing.
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.
Zep: A Temporal Knowledge Graph Architecture for Agent Memory
We introduce Zep, a novel memory layer service for AI agents that outperforms the current state-of-the-art system, MemGPT, in the Deep Memory Retrieval (DMR) benchmark.
PixelFlow: Pixel-Space Generative Models with Flow
We present PixelFlow, a family of image generation models that operate directly in the raw pixel space, in contrast to the predominant latent-space models.
Ranked #36 on
Image Generation
on ImageNet 256x256
LHM: Large Animatable Human Reconstruction Model from a Single Image in Seconds
aigc3d/LHM
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Animatable 3D human reconstruction from a single image is a challenging problem due to the ambiguity in decoupling geometry, appearance, and deformation.
MonSter: Marry Monodepth to Stereo Unleashes Power
junda24/monster
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The refined monodepth is in turn guides stereo effectively at ill-posed regions.
3DGUT: Enabling Distorted Cameras and Secondary Rays in Gaussian Splatting
nv-tlabs/3dgrut
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3D Gaussian Splatting (3DGS) enables efficient reconstruction and high-fidelity real-time rendering of complex scenes on consumer hardware.
InfiniteYou: Flexible Photo Recrafting While Preserving Your Identity
Achieving flexible and high-fidelity identity-preserved image generation remains formidable, particularly with advanced Diffusion Transformers (DiTs) like FLUX.
Affordable AI Assistants with Knowledge Graph of Thoughts
Such structured representation of task-relevant knowledge enables low-cost models to solve complex tasks effectively.
VGGT: Visual Geometry Grounded Transformer
We present VGGT, a feed-forward neural network that directly infers all key 3D attributes of a scene, including camera parameters, point maps, depth maps, and 3D point tracks, from one, a few, or hundreds of its views.
