github.com/ZhendongWang6/DIRE
ZhendongWang6/DIRE
[ICCV 2023] Official implementation of the paper: "DIRE for Diffusion-Generated Image Detection" (⭐ 387)
arxiv.org/abs/astro-ph/0112198v1
The accretion/diffusion theory for lambda Bootis stars in the light of spectrosc…
Most of the current theories suggest the lambda Bootis phenomenon to originate from an interaction between the stellar surface and its local environment. In this paper, we compare the abundance pattern of the lambda Bootis stars to that of the inte...
arxiv.org/abs/astro-ph/0401606v1
Analysis of alpha Centauri AB including seismic constraints
Detailed models of alpha Cen A and B based on new seismological data for alpha Cen B by Carrier & Bourban (2003) have been computed using the Geneva evolution code including atomic diffusion. Taking into account the numerous observational constrain...
github.com/Gutianpei/MID
Gutianpei/MID
[CVPR2022] Code for CVPR 2022 paper "Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion" (⭐ 219)
arxiv.org/abs/2505.11707v1
Attend to Not Attended: Structure-then-Detail Token Merging for Post-training Di…
Diffusion transformers have shown exceptional performance in visual generation but incur high computational costs. Token reduction techniques that compress models by sharing the denoising process among similar tokens have been introduced. However, ex...
arxiv.org/abs/2505.22643v3
SPIRAL: Semantic-Aware Progressive LiDAR Scene Generation and Understanding
Leveraging recent diffusion models, LiDAR-based large-scale 3D scene generation has achieved great success. While recent voxel-based approaches can generate both geometric structures and semantic labels, existing range-view methods are limited to pro...
arxiv.org/abs/1612.00231v1
On the spectral curvature of VHE blazar 1ES\,1011+496: Effect of spatial particl…
A detailed multi-epoch study of the broadband spectral behaviour of the very high energy (VHE) source, 1ES\,1011+496, provides us with valuable information regarding the underlying particle distribution. Simultaneous observations of the source at opt...
arxiv.org/abs/quant-ph/0605200v2
Continuous observation of a squeezed coherent state
The main aim of the paper is to present the analytical solution of the Belavkin quantum filtering equation for damped harmonic oscillator being initially in the squeezed coherent state for diffusion observation with complex white noise. The compariso...
arxiv.org/abs/0811.4013v2
How Homophily Affects Diffusion and Learning in Networks
We examine how three different communication processes operating through social networks are affected by homophily -- the tendency of individuals to associate with others similar to themselves. Homophily has no effect if messages are broadcast or s...
arxiv.org/abs/2407.19113v1
VIMs: Virtual Immunohistochemistry Multiplex staining via Text-to-Stain Diffusio…
This paper introduces a Virtual Immunohistochemistry Multiplex staining (VIMs) model designed to generate multiple immunohistochemistry (IHC) stains from a single hematoxylin and eosin (H&E) stained tissue section. IHC stains are crucial in pathology...
github.com/Gen-Verse/dLLM-RL
Gen-Verse/dLLM-RL
[ICLR 2026] Official code for TraceRL: Revolutionizing post-training for Diffusion LLMs, powering the SOTA TraDo series. (⭐ 440)
arxiv.org/abs/2505.10950v1
Shackled Dancing: A Bit-Locked Diffusion Algorithm for Lossless and Controllable…
Data steganography aims to conceal information within visual content, yet existing spatial- and frequency-domain approaches suffer from trade-offs between security, capacity, and perceptual quality. Recent advances in generative models, particularly...
arxiv.org/abs/2409.09896v1
GRIN: Zero-Shot Metric Depth with Pixel-Level Diffusion
3D reconstruction from a single image is a long-standing problem in computer vision. Learning-based methods address its inherent scale ambiguity by leveraging increasingly large labeled and unlabeled datasets, to produce geometric priors capable of g...
github.com/radames/Real-Time-Latent-Consistency-Model
radames/Real-Time-Latent-Consistency-Model
App showcasing multiple real-time diffusion models pipelines with Diffusers (⭐ 914)
arxiv.org/abs/2205.00089v1
Sound diffusion with spatiotemporally modulated acoustic metasurfaces
Traditional sound diffusers are quasi-random phase gratings attached to reflecting surfaces whose purpose is to augment the spatiotemporal incoherence of the acoustic field scattered from reflective surfaces. This configuration allows one to cover a...
arxiv.org/abs/2302.02412v1
Mixture of Diffusers for scene composition and high resolution image generation
Diffusion methods have been proven to be very effective to generate images while conditioning on a text prompt. However, and although the quality of the generated images is unprecedented, these methods seem to struggle when trying to generate specifi...
github.com/ddPn08/Radiata
ddPn08/Radiata
Stable diffusion webui based on diffusers. (⭐ 972)
github.com/huggingface/swift-coreml-diffusers
huggingface/swift-coreml-diffusers
Swift app demonstrating Core ML Stable Diffusion (⭐ 2739)
arxiv.org/abs/2506.12544v1
Constrained Diffusers for Safe Planning and Control
Diffusion models have shown remarkable potential in planning and control tasks due to their ability to represent multimodal distributions over actions and trajectories. However, ensuring safety under constraints remains a critical challenge for diffu...
github.com/huggingface/diffusers
huggingface/diffusers
? Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch. (⭐ 32945)