同时,随着硬件设备的升级和算法的优化,VQDM的训练效率和性能也将得到进一步提升。 总之,Vector Quantized Diffusion Model作为一种创新的文本到图像合成方法,具有广泛的应用前景和巨大的发展潜力。通过深入了解其原理、特点以及在实际应用中的优势和挑战,我们可以更好地利用这一技术,推动人工智能在图像生成领域的进一步发展...
由于本文的主题是 Vector Quantization,而 VQ-Diffusion 的主要贡献是在离散扩散模型方面,VQ 只是获取离散隐空间的手段,所以接下来的部分只稍微阐述一下离散扩散模型的设计思路,至于训练细节和模型改进(Improved VQ-Diffusion)就暂且略过,以免喧宾夺主。 扩散模型的加噪、去噪过程都是针对连续情形而言的,所以我们必须为...
3. ViT-VQGAN 《Vector-quantized Image Modeling with Improved VQGAN》 4. VQ-Diffusion 《Vector Quantized Diffusion Model for Text-to-Image Synthesis》 5. Maskgit 《Maskgit: Masked generative image transformer》 6. Token-Critic 《Improved Masked Image Generation with Token-Critic》 7. MQ-VAE《...
(batch, seq, quantizer), (batch, quantizer) # if you need all the codes across the quantization layers, just pass return_all_codes = True quantized, indices, commit_loss, all_codes = residual_vq(x, return_all_codes = True) # *_, (8, 1, 1024, 256) # all_codes - (quantizer, ...
randn(1, 16, 10, 32, 32) quantized, *_ = quantizer(video_feats) # (1, 16, 10, 32, 32) Or support multiple codebooks import torch from vector_quantize_pytorch import LatentQuantize model = LatentQuantize( levels = [4, 8, 16], dim = 9, num_codebooks = 3 ) input_tensor = ...
In halftoning by error diffusion, the quantization error at each image pixel is diffused to the unprocessed pixels in a neighborhood around the current quantized pixel via an error filter. This process aims at shaping the quantization noise power into the high frequency regions where the human eye...
Support Vector Machine Authentication Recurrent Neural Network Deep Neural Network Linear Combination Unmanned Aerial Vehicle Mobile Adhoc Network (MANET) ad hoc routing protocol direction-of-arrival routing path View all TopicsMultidimensional Systems: Signal Processing and Modeling Techniques John K. Bates...
: “H.26L Test Model Long Term No. 5 (TML-5) Drafto”, ITU-T Telecommunication Standardization Sector of ITU, Geneva, CH, 11th Meeting, Portland, OR, USA, Aug. 22-25, 2000, pp. 1-31, XP001086628. Bloomfield, L., “Copy Protection—déjàvu,” Broadcast Engineering 40(11): Oct...
In a digital model, values for these quantities may be defined with reference to a quantized set of values. For example, a color defined using an 8-bit RGB model may have three values stored in a memory, wherein each variable may be assigned a value between 0 and 255. Other color ...
毕竟大伙有目共睹,VQ tokenizer 是真的难训,其中 quantized vector 的采样(从 codebook 中)是不可导的,于是通常采用 straight-through 这样的梯度估计方法将 quantized vector 的梯度(来自 Decoder)直接复制给 encoder output vectors,这种近似而不准确的梯度是导致其不容易训好的原因之一。 不妨来重新思考下 autoregre...