Computer Vision

AnyStory: A unified framework enables high-fidelity personalized image generation for single and multiple subjects, addressing subject fidelity challenges in existing methods.

RepVideo enhances text-to-video generation by enriching feature representations, resulting in significantly improved temporal coherence and spatial detail.

Ouroboros-Diffusion: A novel tuning-free long video generation framework achieving unprecedented content consistency by cleverly integrating information across frames via latent sampling, cross-frame…

CityDreamer4D generates realistic, unbounded 4D city models by cleverly separating dynamic objects (like vehicles) from static elements (buildings, roads), using multiple neural fields for enhanced re…

GameFactory uses AI to generate entirely new games within diverse, open-domain scenes by learning action controls from a small dataset and transferring them to pre-trained video models.

Generative video models struggle to understand physics despite producing visually realistic videos; Physics-IQ benchmark reveals this critical limitation, highlighting the need for improved physical r…

R3GAN: A modernized GAN baseline achieves state-of-the-art results with a simple, stable loss function and modern architecture, debunking the myth that GANs are hard to train.

Toto, a new autoregressive video model, achieves competitive performance across various benchmarks by pre-training on over 1 trillion visual tokens, demonstrating the effectiveness of scaling video mo…

SPAR3D: Fast, accurate single-image 3D reconstruction via a novel two-stage approach using point clouds for high-fidelity mesh generation.

This paper unveils critical thresholds for efficient visual autoregressive model computation, proving sub-quartic time is impossible beyond a certain input matrix norm while establishing efficient app…

MoDec-GS: a novel framework achieving 70% model size reduction in dynamic 3D Gaussian splatting while improving visual quality by cleverly decomposing complex motions and optimizing temporal intervals…

DOLPHIN: AI automates scientific research from idea generation to experimental validation.

Diffusion as Shader (DaS) achieves versatile video control by using 3D tracking videos as control signals in a unified video diffusion model, enabling precise manipulation across diverse tasks.

Chirpy3D: Generating creative, high-quality 3D birds with intricate details by learning a continuous part latent space from 2D images.

TransPixar generates high-quality videos with transparency by jointly training RGB and alpha channels, outperforming sequential generation methods.

Through-The-Mask uses mask-based motion trajectories to generate realistic videos from images and text, overcoming limitations of existing methods in handling complex multi-object motion.

STAR: A novel approach uses text-to-video models for realistic, temporally consistent real-world video super-resolution, improving image quality and detail.

MotionBench, a new benchmark, reveals that existing video models struggle with fine-grained motion understanding. To address this, the authors propose TE Fusion, a novel architecture that improves mo…

GS-DiT: Generating high-quality videos with advanced 4D control through efficient dense 3D point tracking and pseudo 4D Gaussian fields.

DepthMaster tames diffusion models for faster, more accurate monocular depth estimation by aligning generative features with high-quality semantic features and adaptively balancing low and high-freque…