Computer Vision

COSTA*: A cost-effective agent that smartly navigates AI tools to edit images with high quality and low cost, balancing user preferences!

CINEMA: MLLM-guided coherent multi-subject video generation for consistent and controllable content creation.

ARPG: Randomly generate high-quality images by parallel decoding, outperforming existing methods in efficiency, memory, and quality.

4D LangSplat learns 4D language fields for dynamic scenes using multimodal large language models, enabling time-sensitive open-vocabulary queries.

TPDiff accelerates video diffusion by progressively increasing frame rates during diffusion, optimizing computational efficiency with a novel stage-wise training strategy.

New ‘Silent Branding Attack’ poisons text-to-image models, embedding brand logos without text prompts, raising ethical issues for image generation tools.

SANA-Sprint: An efficient diffusion model for ultra-fast text-to-image generation with continuous-time consistency distillation, achieving state-of-the-art performance in speed and quality.

Reangle-A-Video generates synchronized multi-view videos from a single video via video-to-video translation, surpassing existing methods without specialized 4D training.

PerCoV2: Open ultra-low bit-rate perceptual image compression using implicit hierarchical masked image modeling, built on Stable Diffusion 3 for bandwidth-constrained applications.

Open-Sora 2.0: A commercial-level video generation model trained for only $200k, achieving comparable results to state-of-the-art models.

VLMs struggle with basic image transforms! This paper reveals their limitations in understanding image-level changes, impacting downstream tasks.

NAR: Neighboring Autoregressive Modeling for efficient visual generation by locality-preserved, parallel decoding.

Unified framework reveals and mitigates error sources in autoregressive video diffusion models.

SynCoS: Synchronized sampling generates high-quality & coherent long videos from text, without extra training!

QuoTA: Task-aware token assignment boosts long video comprehension in LVLMs via query-decoupled processing, without extra training!

SBD: Self-supervised skill discovery from unsegmented videos!

NullFace: A training-free face anonymization method preserving non-identity attributes with localized control using latent diffusion inversion.

MaRI: Accurately retrieves textures from images by bridging the gap between visual representations and material properties across diverse domains.

LightGen: Efficient image generation via knowledge distillation and direct preference optimization.

AnyMoLe: Generate character motion in-between frames for diverse characters by video diffusion models without external data. Code: project page.